RESISTANCE OF SOME SOYBEAN VARIETIES TO BEMISIA TABACI (GENN.) (HOMOPTERA: ALEYRODIDAE) AND THRIPS TABACI L. (THYSANOPTERA: THIRPIDAE) IN ASSIUT حساسية بعض أصناف فول الصويا للإصابة بحشرات الذبابة البيضاء و التربس فى أسيوط

Document Type : Original Article

Abstract

 
The present investigations were conducted at the Experimental Farm of the Agriculture Research Station, Arab-El-Awamer (Abnoub district), Assiut Governorate during 2013 and 2014 soybean growing seasons. The obtained results showed that the populations of T. tabaci and B. tabaci started in a few numbers on all soybean varieties during the first week of July in 2013 and 2014 seasons. The peak populations of these pests occurred during August and/or during September and ranged from 1 to 3 peaks for T. tabaci and from 1 to 2 peaks for B. tabaci according to each variety. Results also indicated that there were highly significant differences in susceptibility between the soybean varieties (F = 7.72 and 18.84 > 0.01) and between seasons (F = 10.44 and 4.27 > 0.01) for T. tabaci and B. tabaci populations, respectively. The combined effect of the weekly mean of maximum and minimum temperature, average relative humidity and predator populations was responsible for 81.80 % and 87.10 % of the changes in the populations of T. tabaci and B. tabaci during the two seasons of study. Concerning the resistant status of the tested soybean varieties to the whitefly and the cotton thrips, the results showed different susceptibility degrees to these pests. The cultivars H 117, G 22 G 111 and H 32, G 22, G 111 appeared as susceptible (S) to the cotton thrips and the whitefly infestations, respectively. Meanwhile, the cultivars H 117, H 30, Clark and H 117, H 127, H 30 Clark appeared as low susceptible (LR) to the aforementioned pests infestations, respectively.
الملخص العربي :
أجريت هذه الدراسة  فى محطة البحوث الزراعية بعرب العوامر بمحافظة أسيوط خلال موسمى 2013، 2014 بهدف دراسة حساسية سبعة أصناف من فول الصويا ( هجين117، 127، 32، 30، جيزة22، 111 بلإضافة الى الصنف کلارک) للإصابة بحشرات التربس و الذبابة البيضاء و قد کانت النتائج کما يلى :
بينت الدراسة أن کلا من حشرات التربس و الذبابة البيضاء تتواجد بأعداد قليلة على کل أصناف فول الصويا المختبرة خلال الأسبوع الأول من شهر يوليو و ذلک خلال موسمى الدراسة ، و قد تم تسجيل أعلى تعداد لهاتين الآفتين خلال شهرى أغسطس و سبتمبر و تراوح هذا التعداد العالى ما بين1 - 3 ذروة بالنسبة لحشرة التربس فى حين کانت من 1 – 2 ذروة بالنسبة الى حشرة الذبابة البيضاء و ذلک حسب کل صنف على حده.
کان التأثير المشترک لکل من العوامل الغير حيوية ( حرارة عظمى – حرارة صغرى – متوسط الرطوبة النسبية ) و العوامل الحيوية ( المفترسات ) مسئولا عن 81,80 % ، 87,10 % من التغيرات التى تحدث فى تعداد کلا من حشرات التربس و الذبابة البيضاء على الترتيب.
عند دراسة حساسية الأصناف المندرسة للأفات السابقة ، أظهرت الأصناف 117 ، جيزة 22 ، جيزة 111 کذلک الأصناف هجين 32 ، جيزة 22، جيزة 111 حساسية للإصابة بکل من حشرات التربس و الذبابة البيضاء على الترتيب ، فى حين أظهرت الأصناف هجين 127 ، هجين 30 ، هجين 32  و کلا من هجين 117 ، هجين 127 ، هجين 30 و الصنف کلارک درجة حساسية منخفضة لکل من حشرات التربس و الذبابة البيضاء على الترتيب. 

Highlights

 

AUCES

Resistance of some soybean varieties to Bemisia tabaci (Genn.) (Homoptera: Aleyrodidae) and Thrips tabaci L. (Thysanoptera: Thirpidae) in Assiut

Alaa El-Deen A. A. Salem

Plant Protection Research Institute, ARC, Giza, Egypt

ABSTRACT:

The present investigations were conducted at the Experimental Farm of the Agriculture Research Station, Arab-El-Awamer (Abnoub district), Assiut Governorate during 2013 and 2014 soybean growing seasons. The obtained results showed that the populations of T. tabaci and B. tabaci started in a few numbers on all soybean varieties during the first week of July in 2013 and 2014 seasons. The peak populations of these pests occurred during August and/or during September and ranged from 1 to 3 peaks for T. tabaci and from 1 to 2 peaks for B. tabaci according to each variety. Results also indicated that there were highly significant differences in susceptibility between the soybean varieties (F = 7.72 and 18.84 > 0.01) and between seasons (F = 10.44 and 4.27 > 0.01) for T. tabaci and B. tabaci populations, respectively. The combined effect of the weekly mean of maximum and minimum temperature, average relative humidity and predator populations was responsible for 81.80 % and 87.10 % of the changes in the populations of T. tabaci and B. tabaci during the two seasons of study. Concerning the resistant status of the tested soybean varieties to the whitefly and the cotton thrips, the results showed different susceptibility degrees to these pests. The cultivars H 117, G 22 G 111 and H 32, G 22, G 111 appeared as susceptible (S) to the cotton thrips and the whitefly infestations, respectively. Meanwhile, the cultivars H 117, H 30, Clark and H 117, H 127, H 30 Clark appeared as low susceptible (LR) to the aforementioned pests infestations, respectively.


INTRODUCTION:

Soybean crop, Glicn max Merr. is considered one of the most important legume crops during summer plantations, with great nutritive value, containing relatively high percentage of oil and proteins contains many essential amino acids (Badenhop and Hacker, 1971; Hamed, 1989; Metwally, 1989; El-Doksh, 2006; Abou-Attia and Youssef, 2007 and El-Sanady et. al., 2008).

Piercing and sucking insect pests such as, whitefly, Bemisia tabaci (Genn.) and cotton thrips, Thrips tabaci L. are the

 

major insect pests attacking soybean plants in the field and causing severe damage (Awadalla et. al., 1991; El-Khouly et. al., 1998). Populations of these pests have previously been reported by several authors (Gammel, 1972; El-Kifl et. al., 1974; Hamed, 1977; Shaheen, 1977; Ohnesorge, 1981; Ohnesorge et. al., 1981; Karaman et. al., 1984; Metwally, 1989; and Sedaration et. al., 2010).

Resistant plants appear to be one of the most promising alternatives to the use of chemicals for pest control as reported by Mentia and Particia, 1993; Mahmoud, 2013 and Abdel-Galil and Amro, 2014 (on sesame plants), Nossir, 1996; Amro, 1999 and 2004 and Mohamed et. al., 2000 (on cowpea plants), Amro et. al., 2007 (on soybean plants) and Amro, 2008 (on cucurbit plants).

The present studies were carried out to clarify the relative resistance of seven soybean varieties to whitefly and thrips. Also, study the population of these pests and factors affecting the population density of these pests. 

MATERIALS AND METHODS

The present investigations were carried out at the Experimental Farm of Agricultural Research Station, Arab-El-Awamer (Abnoub district), Assiut Governorate during 2013 and 2014 soybean growing seasons. The soybean varieties (i.e., Hybrids 117, 127, 30, 32, Giza 22, 111 and Clark) were planted in the first half of May in both seasons.

An area of about ¼ feddan was chosen and divided into 28 plots (4 replicates / variety). The varieties were planted in a randomized complete blocks design. Regular conventional agricultural practices were normally performed and insecticides were prevented.

The population of whitefly and thrips were monitored weekly from July to September during two growing seasons. Samples of 10 leaves were picked up at random from each plot and transferred to the laboratory in paper bags. Leaves were examined under stereomicroscope to count thrips and whitefly. Numbers of the cotton thrips (nymph and adult) and whitefly (egg and nymph) were counting and recorded. Also, the associated predators were recorded on each plot.

Temperature (maximum and minimum) and average relative humidity for Assiut governorate were obtained from the central laboratory for agricultural climate, ARC, MOA at Giza Governorate. The relationship between the population of these pests and both abiotic and biotic factors were statistically analyzed using multiple regression analysis (Fisher, 1950).

Data obtained were statistically analyzed by using F-test and means were compared according to Duncan’s multiple range test (Duncan, 1955).

Resistance status of each soybean cultivars was dependent on the general mean number of the pest (X) and the standard deviation (SD) as reported by Chiang and Talekar (1980). Cultivars that had mean numbers more than X+2SD, were considered highly susceptible (HS); between X and X+2SD, susceptible (S); between X and X-1SD, low resistant (LR); between X-1SD and X-2SD, moderately resistant (MR) and less than X-2SD, were considered highly resistant (HR).

Results and Discussion

1-Population density of T. tabaci and B. tabaci infesting soybean varieties:

Data in Figures 1 and 2 show the population fluctuations of T. tabaci and B. tabaci infesting seven soybean varieties during 2013 and 2014 seasons.

 

a)      The cotton thrips, T. tabaci

2013 season:

Data in Figure (1) show that the infestation of soybean varieties by T. tabaci during 2013 began to appear in relatively few numbers ranged from 2.7 to 6.3 individuals / 10 leaves in the 1st wk of July for all soybean varieties, then it tended to increase gradually reaching peak of population in the 3rdwk of August for H 127 and Clark varieties (108.00 and 100.00  individuals) and in the 4thwk of August for H117, H30, H32, G22 and G111varieties (111.00, 92.30, 126.00, 200.30 and 124.70 individuals, then the population decreased gradually reaching few numbers at the end of September for all varieties. Variety H 127 was recorded two peaks, first in the 2nd and 3rdwks of August, respectively. The results also indicated that the highest mean numbers of T. tabaci was observed on Giza 22 (38.90individuals), while the lower mean numbers was recorded on H 30 (20.10individuals).

2014 season: 

Data in Figure (1) show that the population of the cotton thrips showed a similar trends to that obtained during 2013 season. The cotton thrips appeared during the 1st wk of July in small numbers ranged 1.00-5.70 individuals). The highest mean numbers of the pest were 129.30, 138.00, 89.30, 159.70, 100.00, 221.70 and 124.00 individuals / 10 soybean leaves for H 117, 127, 30, 32, G 22, 111 and Clark varieties, respectively. Two peaks were occurred in case of G 22 variety in the 3rd and 2ndwks of August and September, respectively. The results also indicated that the lower mean number of T. tabaci was recorded on H 30 variety as 21.50 individuals/10 leaves, meanwhile, the highest number of this pest was recorded on G 111 as  72.70 individuals / 10 leaves.

 

b) The whitefly, B. tabaci:

2013 season: 

Data in Figure (2) show the number of whitefly/leaf during 2013 and 2014 seasons on soybean varieties. The results indicated that the population of the whitefly started in few numbers after 45 days of sowing date on all tested varieties, then the population increased gradually until reached its main peak during the period which extended from the 1stwk of August until the 2ndwk of September for all tested varieties. After that numbers of the whitefly decreased gradually until the end of season. Data in Figure (2) also indicated that three peaks of this pest on some tested soybean varieties. The first peak (74.70, 81.70, 53.70 and 77.30 individuals/10 leaves) was recorded for H 117, 32, G 22 and Clark, respectively. The second peak was (58.70, 172.00, 135.00 and 52.30 individuals / 10 leaves), respectively. The third peak was (67.30, 112.30, 141.70 and 89.30 individuals / 10 leaves), respectively. On the other hand, two peaks were recorded on the remaining soybean varieties. The first was (75.70, 106.00 and 107.00individuals / 10 leaves) for H 127, 30 and G 111, respectively. The second peak was (133.00, 106.70 and 203.00 individuals/10 leaves), respectively. As shown in Fig. (2) Giza 111 variety was the most susceptible to the whitefly infestation, which received a mean number of 71.00 insect/10 leaves, while soybean variety Clark was high tolerance than other varieties where it received a mean number of 40.60 insect / 10 leaves.

 

 

 

2014 season:  

In 2014 season, Fig. (2) indicated that the whitefly began to appear in soybean fields in a relatively low level during the 1stwk of July on all tested varieties. Thereafter, the population tended to increase gradually with fluctuations through July and the first half of August. The maximum level (79.70, 99.30, 106.00, 147.00, 204.30 and 279.30 individuals/10 leaves) was attained during August, 14 for H 117, 127, 30, 32, G 22 and 111, respectively. The highest number (131.00 individuals/10 leaves) was recorded during August, 31 for Clark variety later than one week for the rest of the soybean varieties. Fig. (2) also showed that G 111 variety was the most susceptible to the B. tabaci infestation (mean number 121.30 insects / 10 leaves), while soybean variety H 127 was high resistance (mean number 34.50 insects / 10 leaves).

 

2 -Susceptibility of soybean varieties to T. tabaci and B.  tabaci infestation:

Data in Table (1) summarize the average numbers of the cotton thrips and the whitefly insects, based on samples of 10 soybean leaves/variety during 2013 and 2014 soybean growing seasons. Statistical analysis revealed that highly significant differences between all the tested varieties concerning the populations of sucking pests (F= 7.72 and 18.84> 0.01). Regardless of the seasons, Giza 111 was the most susceptible varieties to infestation with the cotton thrips populations, 52.26 individuals/10 soybean leaves. On the contrary, Hybrid 30 variety was the most resistant harboring the highest population of thrips (20.77 individuals/10 leaves). On the other side, G 111 also was the most susceptible varieties to infestation with the whitefly population (96.18 individuals/10 leaves), meanwhile, H 117, H 127 and Clark were the most resistant varieties to infestation with this pest and harboring 40.40, 41.37 and 41.71 individuals / 10 leaves, respectively.

The present results in Table (1) also indicated that, regardless of the soybean varieties, statistical analysis revealed highly significant differences between the first and the second seasons for the cotton thrips and the whitefly (F= 10.44 and 4.27>0.01, respectively). The mean numbers were higher in the second season (36.14 and 63.08 individuals / 10 leaves) than that of the first season (26.66 and 55.44 individuals/10 leaves) for both T. tabaci and B. tabaci, respectively. The differences in levels of infesting between the two seasons might be attributed to the differences in climatic factors (mainly temperature and RH) and/or the effect of the common natural enemies.


 

 

 

 

Figure (1): Seasonal abundance of cotton thrips associated with soybean cultivars during 2013 (A) and 2014 (B) seasons.

 

 

 

Figure (2): Seasonal abundance of whitefly associated with soybean cultivars during 2013 (A) and 2014 (B) seasons.

 

 

Table (1): Average numbers of T. tabaci and B. tabaci inhabiting some soybean varieties during 2013 and 2014 seasons, Assiut Governorate.

SV

LVL

Cotton thrips

Whitefly

Year

2013

26.656 b

55.440 b

2014

36.139 a

63.077 a

F value

10.44

4.27

P

0.0013

0.0393

LSD

5.7664

7.2599

Variety

H 117

31.833 bc

40.397 d

H 127

26.513 bcd

41.372 d

H 30

20.769 d

53.769 cd

H 32

31.013 bcd

65.051 cb

G 22

36.179 b

76.333 b

G 111

52.256 a

96.179 a

Clark

21.218 cd

41.705 d

F value

7.72

18.84

P

0.0001

0.0001

LSD

10.788

13.582

 

 

 

 

 

 

 

 

 

 

 

 

 

 


3-Simultaneous impacts of certain abiotic and biotic factors on the populations of T. tabaci and B. tabaci inhabiting soybean plants:

Weather factors and predator numbers play a great role in population fluctuation of insect pests. Therefore, the predators as well as some weather factors, particularly maximum and minimum temperature and average relative humidity (RH) were investigated in the present study to find out the simultaneous effects on the population density of T. tabaci and B. tabaci inhabiting soybean varieties.

a)      The cotton thrips, T. tabaci:

The relationship between the population of T. tabaci and the weather factors as well as the predator numbers are presented in Table (2). Simple correlation coefficient revealed that, the predators had significant positive effect on the population of thrips (r = 0.823), whereas maximum temperature and relative humidity had insignificant positive effects (r = 0.078 and 0.411). On the contrary, minimum temperature had insignificant negative effect on the pest population (r = - 0.037). However, the coefficient of determination (R² x 100) was 81.80 % indicating that the four mentioned variables were together responsible for 81.80 % of the changes in thrips populations. By dropping each variable (Decrease in R² ×100), step by step from the input the analysis data, to explain the gradual represented efficiency of each variable on the population changes of the insect pest, the studied variables can be arranged in a descending order as follows: predators, temperature (min. and max.) and average relative humidity, where their efficiency were 67.70, 7.70, 5.10 and 1.30 %, respectively.   

b) The whitefly, B. tabaci:

Data in Table (2) show the effect of some factors on the population of B. tabaci and some abiotic and biotic factors. Data indicated that the simple correlation coefficients of the predators and the average relative humidity were positive significant (r = 0.844 and 0.586), respectively, but the minimum and maximum temperature were negatively insignificant (r= 0.069 and 0.033), respectively. The multiple regression analysis revealed that the four studied variables were responsible for 87.10 % of the changes in the whitefly populations. Most of the changes in the pest populations however were due to the predators (71.20 %), the average relative humidity (9.30 %) and the minimum temperature (6.30 %).

Generally, the obtained results indicated that the four mentioned variables were together responsible for 81.80 and 87.10 % of the changes of the cotton thrips and the whitefly populations. Most of the changes of these insect pests depend mainly on the weather factors (mainly temperature and average relative humidity) and the predator numbers during the study period. The effectiveness of weather factors and the predators on the population density of sucking pests on different crops have been studied by several researchers (Ali and Rizk, 1980; Liu, 1993; Koleva et. al., 1996; Abou-Elhagag and Abdel-Hafez, 1998). In addition, Dent (1991) reported that environmental conditions at any location influence the seasonal phenology of insect numbers, the number of generations and the level of insect abundance.


Table (2): Multi-regression analysis between the numbers of T. tabaci and B. tabaci infesting some soybean varieties and certain weather factors as well as predators during 2013 and 2014 seasons, Assiut Governorate.

Removed variable

Seasons

Cotton thrips

Whitefly

r

R

R2

×

100

Decrease

 in

R2 × 100

E. V. %

r

R

R2

×

100

Decrease

 in

R2 × 100

E. V. %

Non

-

0.905

81.8

-

-

-

0.933

87.1

-

-

Predators

0.823**

0.638

40.7

41.03

67.7

0.844**

0.761

57.9

29.2

71.2

Mini. Temp.

-0.037

0.904

81.7

0.1

7.7

-0.069

0.927

86.0

1.1

6.3

Max. Temp.

0.078

0.869

75.5

6.3

5.1

-0.033

0.920

84.7

2.4

0.3

Humidity

0.411

0.897

80.5

1.3

1.3

0.586*

0.882

77.8

9.3

9.3


 

4- Susceptibility degrees of certain soybean cultivars to T. tabaci and B. tabaci:

Data in Table (3) exhibit the average numbers and the susceptibility

 

degrees of the soybean varieties to the cotton thrips and the whitefly collected during 2013 and 2014 growing seasons.

a) The cotton thrips, T. tabaci:

Statistical analysis of the data revealed highly significant differences between the mean numbers of this pest on the tested cultivars (F = 7.72 > 0.01). The soybean cultivars, G111, G22, H117 and H32 were suffer from highly infestations with an average of 52.26, 36.18, 31.83, and 31.01 individuals / 10 leaves, respectively. However, H127, Clark and H30 were infested by quietly low numbers with an average of 26.51, 21.22, and 20.77 individuals/10 leaves. In respect to the susceptibility degrees, the cultivars, H117, G22 and G111 appeared as susceptible (S) cultivars, whereas, they harbored high numbers of this pest. The other four cultivars, H 127, H30, H32 and Clark which harbored quietly low numbers showed some sort of resistance and appeared as low resistant (LR) cultivars. These variations in cultivars resistance degrees may be due to the presence of antibiosis (non-preference) and/or antibiosis characteristics. The use of resistant host plants has been recognized by several entomologists as a high desirable control tactic with excellent potential for regulating population of certain insect pests in integrated pest management (IPM). Sedaratian et. al. (2010) found that soybean varieties affect the population density and spatial distribution of T. tabaci. The mechanism of host plant resistance to insects included non-preference (antixenoses) and antibiosis tolerance as reported by Painter (1958) and Maxweel (1985). In this approach, Amro (2008) determined the resistance status of selected cucurbit varieties to the main sap-sucking pests in Upper Egypt.

 

a)   The whitefly, B. tabaci:

Concerning the mean numbers and the degrees of infestation of the whitefly, B. tabaci, results in Table 3, also showed the existence of highly significant differences between the tested cultivars (F=18.84> 0.01). The lowest value was recorded on soybean cultivars, H30, Clark, H127 and H117 with an average of 53.80, 41.70, 41.40 and 40.40 individuals/10 leaves, respectively. The rest cultivars, G111, G22 and H32 recorded high infestation value with an average of 96.20, 76.30 and 65.10 individuals / 10 soybean leaves, respectively. According to the measurements of the susceptibility degrees, the obtained results indicated that, the cultivars, G111, G22 and H32 appeared as susceptible (S) cultivars, meanwhile, the cultivars, H30, Clark, H127 and H117 appeared as low susceptible (LR) cultivars, respectively. Therefore, it is an important to point out herein that the pest mean numbers must be refer to and / or agree with the resistant degree of each cultivar. These differences in infestation may be due to leaf characters of each soybean cultivar. McAuslane et al. (1995) and McAuslane (1996) who found that greater population of immature whiteflies occurred in pubescent and hirsute soybean than in either glabrous soybean or groundnut.


 

 

 

 

Table (3): Average numbers (a) and susceptibility degrees of certain soybean cultivars to          T .tabaci and B. tabhci during 2013 and 2014 seasons, Assiut Governorate.

Soybean cultivar

Cotton thrips

Whitefly

Mean ± SD

Susceptibility degree

Mean ± SD

Susceptibility degree

H117

31.83±6.58 bc

S

40.4±0.62 d

LR

H127

 

26.51±6.38 bcd

LR

41.4±1.34 d

LR

H30

20.77±5.02 d

LR

53.8±3.05 cd

LR

H32

31.01±9.48 bcd

LR

65.1±3.99 cb

S

G 22

36.18±13.07 b

S

76.3±7.03 b

S

G 111

52.26±8.58 a

S

96.2±18.01 a

S

Clark

21.22±6.59 cd

LR

41.7±15.09 d

LR

Mean

31.4±12.4

 

59.3±21.6

 

F-value

7.72**

 

18.84**

 

(a) Based on 10 soybean leaves / plot.

F value: ** = Highly significant at 0.01 level probability.

Means followed by the same letter(s), in each column, are not significantly different at    

0.05 level probability, by Duncan's multiple range test.

S= Susceptible        LR= Relatively Resistant


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Karaman, G. A.; Mostafa, N. R.; Ali,M. A. and Abdel-Alim, A. A. (1984): Studies on the age structure and age specific population trend of the whitefly, Bemisia tabaci (Genn.) infesting soybeans in Middle Egypt. Minia J. Agric. Res. & Rev., 6(1): 1 – 14.

Koleva, R.; Ferenczy, A. and Jenser, G. (1996): Effect of various plant protection programs on mite populations in vineyards. Hort. Sci., 28 : 79 – 82.

Liu, Y. C. (1993): Comparative forecasting of the rate of occurrence of Macrosiphum granarium (Kirby). Entomol. Knowl., 30 (3) : 136 – 140.

Mahmoud, M. F. (2013): Induced plant resistance as a pest management tactic on piercing sucking insects of sesame crop. Arthropods, 2(3): 137 – 149.

Maxwell, F. G. (1985): Utilization on host plant resistance in pest management. Insect Sci. Applic., 6(3): 437 – 442.

McAuslane, H. J. (1996): Influence of leaf pubescence on ovipositional preference of Bemisiaargentifolii (Homoptera :Aleyrodidae) on soybean. Environ. Entomol., 25(4) : 834 – 841.

McAuslane, H. J.; Johnseon, F. A.; Calvin, D. L. and Sojack, B. (1995): Influence of foliar pubescence on abundance and parasitism of Bemisia argentifolii (Homoptera :Aleyrodidae) on soybean and peanut. Environ. Entomol., 24(5) : 1135 – 1143.

Menita, M. T. and Patricia, M. G. (1993): Resistance of some promising sesame varieties to insect pests and powdery mildew. Sesame and Safflower Newsletter, 8: 29 – 37.

Metwally, S.A.G. (1989): Ecological studies on some insect pests infesting certain legume crops in Qualyobia Governorate. Ph.D. Thesis, Fac. of Agric. Cairo Univ.

Mohamed, S. H.; F. A. Abdel-Galil; M. A. Morsand M. A. Amro. (2000): Susceptibility ofcowpea cultivars to natural infestation with whitefly, Bemisia tabaci Gennadius and the two-spotted spider mite,Tetranychus urticae Koch. Proceedings ofthe 2nd Scientific Conf. Agric. Sci., AssiutUniv. Egypt,: 601-611.

Nossir, M. A. (1996): Mechanism of resistance in bean and cowpea varieties to certain sucking insects infestation. M.S Fac. Agric., Cairo Univ., Egypt.

Ohnesorge, B. (1981): Studies on the population dynamics of the whitefly Bemisia tabaci (Genn.) in winter months. Angewantd tEntomologie, 3: 324 – 327.

Ohnesorge, B.; Sharaf, N. S. and Allawi, T. (1981): Studies on the tobacco whitefly Bemisia tabaci (Genn.) (Homoptera :Aleyrodidae) during winter season.II. Some mortality factors of the immature stages. Z. ang.Ent., 92: 127 – 136.

Painter, R. H. (1958): Insect resistance in crop plants. Macmillan, New York.

Sedaration, A.; Y. Fathipour; A. A. Talebi and S. Farahani (2010): Population dynamics and spatial distribution pattern of Thrips tabaci (Thysanoptera: Thripidae) on different soybean varieties. J. Agric. Sci. Tech. 12: 275 – 288.

Shaheen, A. H. (1977): Survey of pests attacking soybean plants in Egypt with some ecological notes. Agric. Res. Rev., 55(1): 59 - 65.



 

حساسية بعض أصناف فول الصويا للإصابة بحشرات الذبابة البيضاء و التربس فى أسيوط

علاءالدين عبدالقادر أحمد سالم

معهد بحوث وقاية النباتات – مرکز البحوث الزراعية – جيزة – مصر.

الملخص العربي :

أجريت هذه الدراسة  فى محطة البحوث الزراعية بعرب العوامر بمحافظة أسيوط خلال موسمى 2013، 2014 بهدف دراسة حساسية سبعة أصناف من فول الصويا ( هجين117، 127، 32، 30، جيزة22، 111 بلإضافة الى الصنف کلارک) للإصابة بحشرات التربس و الذبابة البيضاء و قد کانت النتائج کما يلى :

بينت الدراسة أن کلا من حشرات التربس و الذبابة البيضاء تتواجد بأعداد قليلة على کل أصناف فول الصويا المختبرة خلال الأسبوع الأول من شهر يوليو و ذلک خلال موسمى الدراسة ، و قد تم تسجيل أعلى تعداد لهاتين الآفتين خلال شهرى أغسطس و سبتمبر و تراوح هذا التعداد العالى ما بين1 - 3 ذروة بالنسبة لحشرة التربس فى حين کانت من 1 – 2 ذروة بالنسبة الى حشرة الذبابة البيضاء و ذلک حسب کل صنف على حده.

کان التأثير المشترک لکل من العوامل الغير حيوية ( حرارة عظمى – حرارة صغرى – متوسط الرطوبة النسبية ) و العوامل الحيوية ( المفترسات ) مسئولا عن 81,80 % ، 87,10 % من التغيرات التى تحدث فى تعداد کلا من حشرات التربس و الذبابة البيضاء على الترتيب.

عند دراسة حساسية الأصناف المندرسة للأفات السابقة ، أظهرت الأصناف 117 ، جيزة 22 ، جيزة 111 کذلک الأصناف هجين 32 ، جيزة 22، جيزة 111 حساسية للإصابة بکل من حشرات التربس و الذبابة البيضاء على الترتيب ، فى حين أظهرت الأصناف هجين 127 ، هجين 30 ، هجين 32  و کلا من هجين 117 ، هجين 127 ، هجين 30 و الصنف کلارک درجة حساسية منخفضة لکل من حشرات التربس و الذبابة البيضاء على الترتيب. 


 

AUCES

Resistance of some soybean varieties to Bemisia tabaci (Genn.) (Homoptera: Aleyrodidae) and Thrips tabaci L. (Thysanoptera: Thirpidae) in Assiut

Alaa El-Deen A. A. Salem

Plant Protection Research Institute, ARC, Giza, Egypt

ABSTRACT:

The present investigations were conducted at the Experimental Farm of the Agriculture Research Station, Arab-El-Awamer (Abnoub district), Assiut Governorate during 2013 and 2014 soybean growing seasons. The obtained results showed that the populations of T. tabaci and B. tabaci started in a few numbers on all soybean varieties during the first week of July in 2013 and 2014 seasons. The peak populations of these pests occurred during August and/or during September and ranged from 1 to 3 peaks for T. tabaci and from 1 to 2 peaks for B. tabaci according to each variety. Results also indicated that there were highly significant differences in susceptibility between the soybean varieties (F = 7.72 and 18.84 > 0.01) and between seasons (F = 10.44 and 4.27 > 0.01) for T. tabaci and B. tabaci populations, respectively. The combined effect of the weekly mean of maximum and minimum temperature, average relative humidity and predator populations was responsible for 81.80 % and 87.10 % of the changes in the populations of T. tabaci and B. tabaci during the two seasons of study. Concerning the resistant status of the tested soybean varieties to the whitefly and the cotton thrips, the results showed different susceptibility degrees to these pests. The cultivars H 117, G 22 G 111 and H 32, G 22, G 111 appeared as susceptible (S) to the cotton thrips and the whitefly infestations, respectively. Meanwhile, the cultivars H 117, H 30, Clark and H 117, H 127, H 30 Clark appeared as low susceptible (LR) to the aforementioned pests infestations, respectively.


INTRODUCTION:

Soybean crop, Glicn max Merr. is considered one of the most important legume crops during summer plantations, with great nutritive value, containing relatively high percentage of oil and proteins contains many essential amino acids (Badenhop and Hacker, 1971; Hamed, 1989; Metwally, 1989; El-Doksh, 2006; Abou-Attia and Youssef, 2007 and El-Sanady et. al., 2008).

Piercing and sucking insect pests such as, whitefly, Bemisia tabaci (Genn.) and cotton thrips, Thrips tabaci L. are the

 

major insect pests attacking soybean plants in the field and causing severe damage (Awadalla et. al., 1991; El-Khouly et. al., 1998). Populations of these pests have previously been reported by several authors (Gammel, 1972; El-Kifl et. al., 1974; Hamed, 1977; Shaheen, 1977; Ohnesorge, 1981; Ohnesorge et. al., 1981; Karaman et. al., 1984; Metwally, 1989; and Sedaration et. al., 2010).

Resistant plants appear to be one of the most promising alternatives to the use of chemicals for pest control as reported by Mentia and Particia, 1993; Mahmoud, 2013 and Abdel-Galil and Amro, 2014 (on sesame plants), Nossir, 1996; Amro, 1999 and 2004 and Mohamed et. al., 2000 (on cowpea plants), Amro et. al., 2007 (on soybean plants) and Amro, 2008 (on cucurbit plants).

The present studies were carried out to clarify the relative resistance of seven soybean varieties to whitefly and thrips. Also, study the population of these pests and factors affecting the population density of these pests. 

MATERIALS AND METHODS

The present investigations were carried out at the Experimental Farm of Agricultural Research Station, Arab-El-Awamer (Abnoub district), Assiut Governorate during 2013 and 2014 soybean growing seasons. The soybean varieties (i.e., Hybrids 117, 127, 30, 32, Giza 22, 111 and Clark) were planted in the first half of May in both seasons.

An area of about ¼ feddan was chosen and divided into 28 plots (4 replicates / variety). The varieties were planted in a randomized complete blocks design. Regular conventional agricultural practices were normally performed and insecticides were prevented.

The population of whitefly and thrips were monitored weekly from July to September during two growing seasons. Samples of 10 leaves were picked up at random from each plot and transferred to the laboratory in paper bags. Leaves were examined under stereomicroscope to count thrips and whitefly. Numbers of the cotton thrips (nymph and adult) and whitefly (egg and nymph) were counting and recorded. Also, the associated predators were recorded on each plot.

Temperature (maximum and minimum) and average relative humidity for Assiut governorate were obtained from the central laboratory for agricultural climate, ARC, MOA at Giza Governorate. The relationship between the population of these pests and both abiotic and biotic factors were statistically analyzed using multiple regression analysis (Fisher, 1950).

Data obtained were statistically analyzed by using F-test and means were compared according to Duncan’s multiple range test (Duncan, 1955).

Resistance status of each soybean cultivars was dependent on the general mean number of the pest (X) and the standard deviation (SD) as reported by Chiang and Talekar (1980). Cultivars that had mean numbers more than X+2SD, were considered highly susceptible (HS); between X and X+2SD, susceptible (S); between X and X-1SD, low resistant (LR); between X-1SD and X-2SD, moderately resistant (MR) and less than X-2SD, were considered highly resistant (HR).

Results and Discussion

1-Population density of T. tabaci and B. tabaci infesting soybean varieties:

Data in Figures 1 and 2 show the population fluctuations of T. tabaci and B. tabaci infesting seven soybean varieties during 2013 and 2014 seasons.

 

a)      The cotton thrips, T. tabaci

2013 season:

Data in Figure (1) show that the infestation of soybean varieties by T. tabaci during 2013 began to appear in relatively few numbers ranged from 2.7 to 6.3 individuals / 10 leaves in the 1st wk of July for all soybean varieties, then it tended to increase gradually reaching peak of population in the 3rdwk of August for H 127 and Clark varieties (108.00 and 100.00  individuals) and in the 4thwk of August for H117, H30, H32, G22 and G111varieties (111.00, 92.30, 126.00, 200.30 and 124.70 individuals, then the population decreased gradually reaching few numbers at the end of September for all varieties. Variety H 127 was recorded two peaks, first in the 2nd and 3rdwks of August, respectively. The results also indicated that the highest mean numbers of T. tabaci was observed on Giza 22 (38.90individuals), while the lower mean numbers was recorded on H 30 (20.10individuals).

2014 season: 

Data in Figure (1) show that the population of the cotton thrips showed a similar trends to that obtained during 2013 season. The cotton thrips appeared during the 1st wk of July in small numbers ranged 1.00-5.70 individuals). The highest mean numbers of the pest were 129.30, 138.00, 89.30, 159.70, 100.00, 221.70 and 124.00 individuals / 10 soybean leaves for H 117, 127, 30, 32, G 22, 111 and Clark varieties, respectively. Two peaks were occurred in case of G 22 variety in the 3rd and 2ndwks of August and September, respectively. The results also indicated that the lower mean number of T. tabaci was recorded on H 30 variety as 21.50 individuals/10 leaves, meanwhile, the highest number of this pest was recorded on G 111 as  72.70 individuals / 10 leaves.

 

b) The whitefly, B. tabaci:

2013 season: 

Data in Figure (2) show the number of whitefly/leaf during 2013 and 2014 seasons on soybean varieties. The results indicated that the population of the whitefly started in few numbers after 45 days of sowing date on all tested varieties, then the population increased gradually until reached its main peak during the period which extended from the 1stwk of August until the 2ndwk of September for all tested varieties. After that numbers of the whitefly decreased gradually until the end of season. Data in Figure (2) also indicated that three peaks of this pest on some tested soybean varieties. The first peak (74.70, 81.70, 53.70 and 77.30 individuals/10 leaves) was recorded for H 117, 32, G 22 and Clark, respectively. The second peak was (58.70, 172.00, 135.00 and 52.30 individuals / 10 leaves), respectively. The third peak was (67.30, 112.30, 141.70 and 89.30 individuals / 10 leaves), respectively. On the other hand, two peaks were recorded on the remaining soybean varieties. The first was (75.70, 106.00 and 107.00individuals / 10 leaves) for H 127, 30 and G 111, respectively. The second peak was (133.00, 106.70 and 203.00 individuals/10 leaves), respectively. As shown in Fig. (2) Giza 111 variety was the most susceptible to the whitefly infestation, which received a mean number of 71.00 insect/10 leaves, while soybean variety Clark was high tolerance than other varieties where it received a mean number of 40.60 insect / 10 leaves.

 

 

 

2014 season:  

In 2014 season, Fig. (2) indicated that the whitefly began to appear in soybean fields in a relatively low level during the 1stwk of July on all tested varieties. Thereafter, the population tended to increase gradually with fluctuations through July and the first half of August. The maximum level (79.70, 99.30, 106.00, 147.00, 204.30 and 279.30 individuals/10 leaves) was attained during August, 14 for H 117, 127, 30, 32, G 22 and 111, respectively. The highest number (131.00 individuals/10 leaves) was recorded during August, 31 for Clark variety later than one week for the rest of the soybean varieties. Fig. (2) also showed that G 111 variety was the most susceptible to the B. tabaci infestation (mean number 121.30 insects / 10 leaves), while soybean variety H 127 was high resistance (mean number 34.50 insects / 10 leaves).

 

2 -Susceptibility of soybean varieties to T. tabaci and B.  tabaci infestation:

Data in Table (1) summarize the average numbers of the cotton thrips and the whitefly insects, based on samples of 10 soybean leaves/variety during 2013 and 2014 soybean growing seasons. Statistical analysis revealed that highly significant differences between all the tested varieties concerning the populations of sucking pests (F= 7.72 and 18.84> 0.01). Regardless of the seasons, Giza 111 was the most susceptible varieties to infestation with the cotton thrips populations, 52.26 individuals/10 soybean leaves. On the contrary, Hybrid 30 variety was the most resistant harboring the highest population of thrips (20.77 individuals/10 leaves). On the other side, G 111 also was the most susceptible varieties to infestation with the whitefly population (96.18 individuals/10 leaves), meanwhile, H 117, H 127 and Clark were the most resistant varieties to infestation with this pest and harboring 40.40, 41.37 and 41.71 individuals / 10 leaves, respectively.

The present results in Table (1) also indicated that, regardless of the soybean varieties, statistical analysis revealed highly significant differences between the first and the second seasons for the cotton thrips and the whitefly (F= 10.44 and 4.27>0.01, respectively). The mean numbers were higher in the second season (36.14 and 63.08 individuals / 10 leaves) than that of the first season (26.66 and 55.44 individuals/10 leaves) for both T. tabaci and B. tabaci, respectively. The differences in levels of infesting between the two seasons might be attributed to the differences in climatic factors (mainly temperature and RH) and/or the effect of the common natural enemies.


 

 

 

 

Figure (1): Seasonal abundance of cotton thrips associated with soybean cultivars during 2013 (A) and 2014 (B) seasons.

 

 

 

Figure (2): Seasonal abundance of whitefly associated with soybean cultivars during 2013 (A) and 2014 (B) seasons.

 

 

Table (1): Average numbers of T. tabaci and B. tabaci inhabiting some soybean varieties during 2013 and 2014 seasons, Assiut Governorate.

SV

LVL

Cotton thrips

Whitefly

Year

2013

26.656 b

55.440 b

2014

36.139 a

63.077 a

F value

10.44

4.27

P

0.0013

0.0393

LSD

5.7664

7.2599

Variety

H 117

31.833 bc

40.397 d

H 127

26.513 bcd

41.372 d

H 30

20.769 d

53.769 cd

H 32

31.013 bcd

65.051 cb

G 22

36.179 b

76.333 b

G 111

52.256 a

96.179 a

Clark

21.218 cd

41.705 d

F value

7.72

18.84

P

0.0001

0.0001

LSD

10.788

13.582

 

 

 

 

 

 

 

 

 

 

 

 

 

 


3-Simultaneous impacts of certain abiotic and biotic factors on the populations of T. tabaci and B. tabaci inhabiting soybean plants:

Weather factors and predator numbers play a great role in population fluctuation of insect pests. Therefore, the predators as well as some weather factors, particularly maximum and minimum temperature and average relative humidity (RH) were investigated in the present study to find out the simultaneous effects on the population density of T. tabaci and B. tabaci inhabiting soybean varieties.

a)      The cotton thrips, T. tabaci:

The relationship between the population of T. tabaci and the weather factors as well as the predator numbers are presented in Table (2). Simple correlation coefficient revealed that, the predators had significant positive effect on the population of thrips (r = 0.823), whereas maximum temperature and relative humidity had insignificant positive effects (r = 0.078 and 0.411). On the contrary, minimum temperature had insignificant negative effect on the pest population (r = - 0.037). However, the coefficient of determination (R² x 100) was 81.80 % indicating that the four mentioned variables were together responsible for 81.80 % of the changes in thrips populations. By dropping each variable (Decrease in R² ×100), step by step from the input the analysis data, to explain the gradual represented efficiency of each variable on the population changes of the insect pest, the studied variables can be arranged in a descending order as follows: predators, temperature (min. and max.) and average relative humidity, where their efficiency were 67.70, 7.70, 5.10 and 1.30 %, respectively.   

b) The whitefly, B. tabaci:

Data in Table (2) show the effect of some factors on the population of B. tabaci and some abiotic and biotic factors. Data indicated that the simple correlation coefficients of the predators and the average relative humidity were positive significant (r = 0.844 and 0.586), respectively, but the minimum and maximum temperature were negatively insignificant (r= 0.069 and 0.033), respectively. The multiple regression analysis revealed that the four studied variables were responsible for 87.10 % of the changes in the whitefly populations. Most of the changes in the pest populations however were due to the predators (71.20 %), the average relative humidity (9.30 %) and the minimum temperature (6.30 %).

Generally, the obtained results indicated that the four mentioned variables were together responsible for 81.80 and 87.10 % of the changes of the cotton thrips and the whitefly populations. Most of the changes of these insect pests depend mainly on the weather factors (mainly temperature and average relative humidity) and the predator numbers during the study period. The effectiveness of weather factors and the predators on the population density of sucking pests on different crops have been studied by several researchers (Ali and Rizk, 1980; Liu, 1993; Koleva et. al., 1996; Abou-Elhagag and Abdel-Hafez, 1998). In addition, Dent (1991) reported that environmental conditions at any location influence the seasonal phenology of insect numbers, the number of generations and the level of insect abundance.


Table (2): Multi-regression analysis between the numbers of T. tabaci and B. tabaci infesting some soybean varieties and certain weather factors as well as predators during 2013 and 2014 seasons, Assiut Governorate.

Removed variable

Seasons

Cotton thrips

Whitefly

r

R

R2

×

100

Decrease

 in

R2 × 100

E. V. %

r

R

R2

×

100

Decrease

 in

R2 × 100

E. V. %

Non

-

0.905

81.8

-

-

-

0.933

87.1

-

-

Predators

0.823**

0.638

40.7

41.03

67.7

0.844**

0.761

57.9

29.2

71.2

Mini. Temp.

-0.037

0.904

81.7

0.1

7.7

-0.069

0.927

86.0

1.1

6.3

Max. Temp.

0.078

0.869

75.5

6.3

5.1

-0.033

0.920

84.7

2.4

0.3

Humidity

0.411

0.897

80.5

1.3

1.3

0.586*

0.882

77.8

9.3

9.3


 

4- Susceptibility degrees of certain soybean cultivars to T. tabaci and B. tabaci:

Data in Table (3) exhibit the average numbers and the susceptibility

 

degrees of the soybean varieties to the cotton thrips and the whitefly collected during 2013 and 2014 growing seasons.

a) The cotton thrips, T. tabaci:

Statistical analysis of the data revealed highly significant differences between the mean numbers of this pest on the tested cultivars (F = 7.72 > 0.01). The soybean cultivars, G111, G22, H117 and H32 were suffer from highly infestations with an average of 52.26, 36.18, 31.83, and 31.01 individuals / 10 leaves, respectively. However, H127, Clark and H30 were infested by quietly low numbers with an average of 26.51, 21.22, and 20.77 individuals/10 leaves. In respect to the susceptibility degrees, the cultivars, H117, G22 and G111 appeared as susceptible (S) cultivars, whereas, they harbored high numbers of this pest. The other four cultivars, H 127, H30, H32 and Clark which harbored quietly low numbers showed some sort of resistance and appeared as low resistant (LR) cultivars. These variations in cultivars resistance degrees may be due to the presence of antibiosis (non-preference) and/or antibiosis characteristics. The use of resistant host plants has been recognized by several entomologists as a high desirable control tactic with excellent potential for regulating population of certain insect pests in integrated pest management (IPM). Sedaratian et. al. (2010) found that soybean varieties affect the population density and spatial distribution of T. tabaci. The mechanism of host plant resistance to insects included non-preference (antixenoses) and antibiosis tolerance as reported by Painter (1958) and Maxweel (1985). In this approach, Amro (2008) determined the resistance status of selected cucurbit varieties to the main sap-sucking pests in Upper Egypt.

 

a)   The whitefly, B. tabaci:

Concerning the mean numbers and the degrees of infestation of the whitefly, B. tabaci, results in Table 3, also showed the existence of highly significant differences between the tested cultivars (F=18.84> 0.01). The lowest value was recorded on soybean cultivars, H30, Clark, H127 and H117 with an average of 53.80, 41.70, 41.40 and 40.40 individuals/10 leaves, respectively. The rest cultivars, G111, G22 and H32 recorded high infestation value with an average of 96.20, 76.30 and 65.10 individuals / 10 soybean leaves, respectively. According to the measurements of the susceptibility degrees, the obtained results indicated that, the cultivars, G111, G22 and H32 appeared as susceptible (S) cultivars, meanwhile, the cultivars, H30, Clark, H127 and H117 appeared as low susceptible (LR) cultivars, respectively. Therefore, it is an important to point out herein that the pest mean numbers must be refer to and / or agree with the resistant degree of each cultivar. These differences in infestation may be due to leaf characters of each soybean cultivar. McAuslane et al. (1995) and McAuslane (1996) who found that greater population of immature whiteflies occurred in pubescent and hirsute soybean than in either glabrous soybean or groundnut.


 

 

 

 

Table (3): Average numbers (a) and susceptibility degrees of certain soybean cultivars to          T .tabaci and B. tabhci during 2013 and 2014 seasons, Assiut Governorate.

Soybean cultivar

Cotton thrips

Whitefly

Mean ± SD

Susceptibility degree

Mean ± SD

Susceptibility degree

H117

31.83±6.58 bc

S

40.4±0.62 d

LR

H127

 

26.51±6.38 bcd

LR

41.4±1.34 d

LR

H30

20.77±5.02 d

LR

53.8±3.05 cd

LR

H32

31.01±9.48 bcd

LR

65.1±3.99 cb

S

G 22

36.18±13.07 b

S

76.3±7.03 b

S

G 111

52.26±8.58 a

S

96.2±18.01 a

S

Clark

21.22±6.59 cd

LR

41.7±15.09 d

LR

Mean

31.4±12.4

 

59.3±21.6

 

F-value

7.72**

 

18.84**

 

(a) Based on 10 soybean leaves / plot.

F value: ** = Highly significant at 0.01 level probability.

Means followed by the same letter(s), in each column, are not significantly different at    

0.05 level probability, by Duncan's multiple range test.

S= Susceptible        LR= Relatively Resistant


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Amro, M. A.; Omar, M. S.; Abdel-Moniem, A. S. and Yamani, K. M. M. (2007): Determination of resistance of experimental soybeans to the lima bean pod borer, Etiellazinckenella Treitschke and the whitefly, Bemisiatabaci (Genn.) at Dakhla Oases, New Valley, Egypt. Ass. Univ. Bull. Environ. Res., 10 (2): 57 – 65.

Awadallah, S. S.; A.  S. El-Zanan and R. M. Salem (1991): Studies on injurious insects infesting soybean plants and the efficiency of certain chemicals against these pests at Kafr El- Sheikh, Egypt. J. Agric. Sci. Mansoura Univ., 16(2): 420-429.

Badenhop, A. F. and L. R. Hackler (1971): Protein quality of dry roasted soybean: amino acid composition and protein efficiency ratio. J. of food science, 36: 1- 4.

Chiang, H. S. and N. S. Talekar (1980). Identification of sources of resistance to the beanfly and two other agromyzids fields in soybean and mungbean. J. Econ. Entomol., 73 (3): 197-199.

Dent, D. (1991): Insect pest management. C.A.B. international.

Duncan, D.B. (1955): Multiple range and multiple F-test. Biometrics, 11: l - 42.

El-Doksh, R.A. (2006): Susceptibility of four soybean varieties to infestation with some sucking pests and cotton leaf worm and the effect of main weather factors on infestation. J.Agric.Sci. Mansoura Univ., 31(4): 2369-2385.

El-khouly, A. S.; E. M. E. Khalafalla; M. M. Metwally; H. A. Helal and A. B. El-Mezaien (1998): Seasonal abundance and population dynamics of certain sucking insects on soybean in KafrEl-Sheikh Governorate. Egypt. J. Agric. Res., 76(1): 141-151.

El- Kifl, A. H.; A. E. A. Wahab; M. A. Assem and A. A. Metwally (1974): List of insects, mites and pests associated with leguminous crops in Egypt. Bull. Soc. Ent. Egypt, 58: 297 – 302.Resources, Water and Soil Science, 12 (45): 287 – 295.

El-Sanady, M. A.; S. M. Soliman and A. A. Younis (2008): Field and laboratory studies to evaluate five soybean varieties for their relative susceptibility to the two spotted spider mite Tetranychus urticae Koch infestation (Acarina: tetranychidae: Actenididea). Egypt. J. Agric. Res., 86(1): 77-88.

Fisher, R. A. (1950): Statistical methods for research workers. Oliver and Boyed Ltd., Edinburgh, London, 12th ed., 518 pp.

Gammel, O. I. (1972): A new description, distribution and host of cotton whitefly Bemisia tabaci (Genn.) (homoptera :Aleyrodidae). Rev. Zool. Bot. Afr. 86: 49 – 64.

Hamed, M. A. A. (1977): Survey of insects on soybean. M. Sc. Thesis, Fac. of Agric.Al-Azhar Univ., Cairo.

Hamed, M.A.A. (1989): Bionomic studies on the major soybean pests Ph.D. Thesis, Fac. of Agric. Al-Azhar Univ., Cairo.

Karaman, G. A.; Mostafa, N. R.; Ali,M. A. and Abdel-Alim, A. A. (1984): Studies on the age structure and age specific population trend of the whitefly, Bemisia tabaci (Genn.) infesting soybeans in Middle Egypt. Minia J. Agric. Res. & Rev., 6(1): 1 – 14.

Koleva, R.; Ferenczy, A. and Jenser, G. (1996): Effect of various plant protection programs on mite populations in vineyards. Hort. Sci., 28 : 79 – 82.

Liu, Y. C. (1993): Comparative forecasting of the rate of occurrence of Macrosiphum granarium (Kirby). Entomol. Knowl., 30 (3) : 136 – 140.

Mahmoud, M. F. (2013): Induced plant resistance as a pest management tactic on piercing sucking insects of sesame crop. Arthropods, 2(3): 137 – 149.

Maxwell, F. G. (1985): Utilization on host plant resistance in pest management. Insect Sci. Applic., 6(3): 437 – 442.

McAuslane, H. J. (1996): Influence of leaf pubescence on ovipositional preference of Bemisiaargentifolii (Homoptera :Aleyrodidae) on soybean. Environ. Entomol., 25(4) : 834 – 841.

McAuslane, H. J.; Johnseon, F. A.; Calvin, D. L. and Sojack, B. (1995): Influence of foliar pubescence on abundance and parasitism of Bemisia argentifolii (Homoptera :Aleyrodidae) on soybean and peanut. Environ. Entomol., 24(5) : 1135 – 1143.

Menita, M. T. and Patricia, M. G. (1993): Resistance of some promising sesame varieties to insect pests and powdery mildew. Sesame and Safflower Newsletter, 8: 29 – 37.

Metwally, S.A.G. (1989): Ecological studies on some insect pests infesting certain legume crops in Qualyobia Governorate. Ph.D. Thesis, Fac. of Agric. Cairo Univ.

Mohamed, S. H.; F. A. Abdel-Galil; M. A. Morsand M. A. Amro. (2000): Susceptibility ofcowpea cultivars to natural infestation with whitefly, Bemisia tabaci Gennadius and the two-spotted spider mite,Tetranychus urticae Koch. Proceedings ofthe 2nd Scientific Conf. Agric. Sci., AssiutUniv. Egypt,: 601-611.

Nossir, M. A. (1996): Mechanism of resistance in bean and cowpea varieties to certain sucking insects infestation. M.S Fac. Agric., Cairo Univ., Egypt.

Ohnesorge, B. (1981): Studies on the population dynamics of the whitefly Bemisia tabaci (Genn.) in winter months. Angewantd tEntomologie, 3: 324 – 327.

Ohnesorge, B.; Sharaf, N. S. and Allawi, T. (1981): Studies on the tobacco whitefly Bemisia tabaci (Genn.) (Homoptera :Aleyrodidae) during winter season.II. Some mortality factors of the immature stages. Z. ang.Ent., 92: 127 – 136.

Painter, R. H. (1958): Insect resistance in crop plants. Macmillan, New York.

Sedaration, A.; Y. Fathipour; A. A. Talebi and S. Farahani (2010): Population dynamics and spatial distribution pattern of Thrips tabaci (Thysanoptera: Thripidae) on different soybean varieties. J. Agric. Sci. Tech. 12: 275 – 288.

Shaheen, A. H. (1977): Survey of pests attacking soybean plants in Egypt with some ecological notes. Agric. Res. Rev., 55(1): 59 - 65.



 

حساسية بعض أصناف فول الصويا للإصابة بحشرات الذبابة البيضاء و التربس فى أسيوط

علاءالدين عبدالقادر أحمد سالم

معهد بحوث وقاية النباتات – مرکز البحوث الزراعية – جيزة – مصر.

الملخص العربي :

أجريت هذه الدراسة  فى محطة البحوث الزراعية بعرب العوامر بمحافظة أسيوط خلال موسمى 2013، 2014 بهدف دراسة حساسية سبعة أصناف من فول الصويا ( هجين117، 127، 32، 30، جيزة22، 111 بلإضافة الى الصنف کلارک) للإصابة بحشرات التربس و الذبابة البيضاء و قد کانت النتائج کما يلى :

بينت الدراسة أن کلا من حشرات التربس و الذبابة البيضاء تتواجد بأعداد قليلة على کل أصناف فول الصويا المختبرة خلال الأسبوع الأول من شهر يوليو و ذلک خلال موسمى الدراسة ، و قد تم تسجيل أعلى تعداد لهاتين الآفتين خلال شهرى أغسطس و سبتمبر و تراوح هذا التعداد العالى ما بين1 - 3 ذروة بالنسبة لحشرة التربس فى حين کانت من 1 – 2 ذروة بالنسبة الى حشرة الذبابة البيضاء و ذلک حسب کل صنف على حده.

کان التأثير المشترک لکل من العوامل الغير حيوية ( حرارة عظمى – حرارة صغرى – متوسط الرطوبة النسبية ) و العوامل الحيوية ( المفترسات ) مسئولا عن 81,80 % ، 87,10 % من التغيرات التى تحدث فى تعداد کلا من حشرات التربس و الذبابة البيضاء على الترتيب.

عند دراسة حساسية الأصناف المندرسة للأفات السابقة ، أظهرت الأصناف 117 ، جيزة 22 ، جيزة 111 کذلک الأصناف هجين 32 ، جيزة 22، جيزة 111 حساسية للإصابة بکل من حشرات التربس و الذبابة البيضاء على الترتيب ، فى حين أظهرت الأصناف هجين 127 ، هجين 30 ، هجين 32  و کلا من هجين 117 ، هجين 127 ، هجين 30 و الصنف کلارک درجة حساسية منخفضة لکل من حشرات التربس و الذبابة البيضاء على الترتيب. 

REFERENCES
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Amro, M.A. (2004): Incidence of certain arthropod pests and predators inhabiting cowpea, with special reference to the varietal resistance of selected cultivars to Bemisia tabaci (Genn.) and Tetranychus urticae Koch. Ass. Univ. Bukll. Environ. Res., 7(1): 31 – 38.
Amro, M. A. (2008): Population fluctuation of certain arthropod pests inhabiting selected cucurbit varieties and their resistance status to the main sap sucking pests. Egypt. J. Agric. Res., 86(2): 697 – 709.
Amro, M. A.; Omar, M. S.; Abdel-Moniem, A. S. and Yamani, K. M. M. (2007): Determination of resistance of experimental soybeans to the lima bean pod borer, Etiellazinckenella Treitschke and the whitefly, Bemisiatabaci (Genn.) at Dakhla Oases, New Valley, Egypt. Ass. Univ. Bull. Environ. Res., 10 (2): 57 – 65.
Awadallah, S. S.; A.  S. El-Zanan and R. M. Salem (1991): Studies on injurious insects infesting soybean plants and the efficiency of certain chemicals against these pests at Kafr El- Sheikh, Egypt. J. Agric. Sci. Mansoura Univ., 16(2): 420-429.
Badenhop, A. F. and L. R. Hackler (1971): Protein quality of dry roasted soybean: amino acid composition and protein efficiency ratio. J. of food science, 36: 1- 4.
Chiang, H. S. and N. S. Talekar (1980). Identification of sources of resistance to the beanfly and two other agromyzids fields in soybean and mungbean. J. Econ. Entomol., 73 (3): 197-199.
Dent, D. (1991): Insect pest management. C.A.B. international.
Duncan, D.B. (1955): Multiple range and multiple F-test. Biometrics, 11: l - 42.
El-Doksh, R.A. (2006): Susceptibility of four soybean varieties to infestation with some sucking pests and cotton leaf worm and the effect of main weather factors on infestation. J.Agric.Sci. Mansoura Univ., 31(4): 2369-2385.
El-khouly, A. S.; E. M. E. Khalafalla; M. M. Metwally; H. A. Helal and A. B. El-Mezaien (1998): Seasonal abundance and population dynamics of certain sucking insects on soybean in KafrEl-Sheikh Governorate. Egypt. J. Agric. Res., 76(1): 141-151.
El- Kifl, A. H.; A. E. A. Wahab; M. A. Assem and A. A. Metwally (1974): List of insects, mites and pests associated with leguminous crops in Egypt. Bull. Soc. Ent. Egypt, 58: 297 – 302.Resources, Water and Soil Science, 12 (45): 287 – 295.
El-Sanady, M. A.; S. M. Soliman and A. A. Younis (2008): Field and laboratory studies to evaluate five soybean varieties for their relative susceptibility to the two spotted spider mite Tetranychus urticae Koch infestation (Acarina: tetranychidae: Actenididea). Egypt. J. Agric. Res., 86(1): 77-88.
Fisher, R. A. (1950): Statistical methods for research workers. Oliver and Boyed Ltd., Edinburgh, London, 12th ed., 518 pp.
Gammel, O. I. (1972): A new description, distribution and host of cotton whitefly Bemisia tabaci (Genn.) (homoptera :Aleyrodidae). Rev. Zool. Bot. Afr. 86: 49 – 64.
Hamed, M. A. A. (1977): Survey of insects on soybean. M. Sc. Thesis, Fac. of Agric.Al-Azhar Univ., Cairo.
Hamed, M.A.A. (1989): Bionomic studies on the major soybean pests Ph.D. Thesis, Fac. of Agric. Al-Azhar Univ., Cairo.
Karaman, G. A.; Mostafa, N. R.; Ali,M. A. and Abdel-Alim, A. A. (1984): Studies on the age structure and age specific population trend of the whitefly, Bemisia tabaci (Genn.) infesting soybeans in Middle Egypt. Minia J. Agric. Res. & Rev., 6(1): 1 – 14.
Koleva, R.; Ferenczy, A. and Jenser, G. (1996): Effect of various plant protection programs on mite populations in vineyards. Hort. Sci., 28 : 79 – 82.
Liu, Y. C. (1993): Comparative forecasting of the rate of occurrence of Macrosiphum granarium (Kirby). Entomol. Knowl., 30 (3) : 136 – 140.
Mahmoud, M. F. (2013): Induced plant resistance as a pest management tactic on piercing sucking insects of sesame crop. Arthropods, 2(3): 137 – 149.
Maxwell, F. G. (1985): Utilization on host plant resistance in pest management. Insect Sci. Applic., 6(3): 437 – 442.
McAuslane, H. J. (1996): Influence of leaf pubescence on ovipositional preference of Bemisiaargentifolii (Homoptera :Aleyrodidae) on soybean. Environ. Entomol., 25(4) : 834 – 841.
McAuslane, H. J.; Johnseon, F. A.; Calvin, D. L. and Sojack, B. (1995): Influence of foliar pubescence on abundance and parasitism of Bemisia argentifolii (Homoptera :Aleyrodidae) on soybean and peanut. Environ. Entomol., 24(5) : 1135 – 1143.
Menita, M. T. and Patricia, M. G. (1993): Resistance of some promising sesame varieties to insect pests and powdery mildew. Sesame and Safflower Newsletter, 8: 29 – 37.
Metwally, S.A.G. (1989): Ecological studies on some insect pests infesting certain legume crops in Qualyobia Governorate. Ph.D. Thesis, Fac. of Agric. Cairo Univ.
Mohamed, S. H.; F. A. Abdel-Galil; M. A. Morsand M. A. Amro. (2000): Susceptibility ofcowpea cultivars to natural infestation with whitefly, Bemisia tabaci Gennadius and the two-spotted spider mite,Tetranychus urticae Koch. Proceedings ofthe 2nd Scientific Conf. Agric. Sci., AssiutUniv. Egypt,: 601-611.
Nossir, M. A. (1996): Mechanism of resistance in bean and cowpea varieties to certain sucking insects infestation. M.S Fac. Agric., Cairo Univ., Egypt.
Ohnesorge, B. (1981): Studies on the population dynamics of the whitefly Bemisia tabaci (Genn.) in winter months. Angewantd tEntomologie, 3: 324 – 327.
Ohnesorge, B.; Sharaf, N. S. and Allawi, T. (1981): Studies on the tobacco whitefly Bemisia tabaci (Genn.) (Homoptera :Aleyrodidae) during winter season.II. Some mortality factors of the immature stages. Z. ang.Ent., 92: 127 – 136.
Painter, R. H. (1958): Insect resistance in crop plants. Macmillan, New York.
Sedaration, A.; Y. Fathipour; A. A. Talebi and S. Farahani (2010): Population dynamics and spatial distribution pattern of Thrips tabaci (Thysanoptera: Thripidae) on different soybean varieties. J. Agric. Sci. Tech. 12: 275 – 288.
Shaheen, A. H. (1977): Survey of pests attacking soybean plants in Egypt with some ecological notes. Agric. Res. Rev., 55(1): 59 - 65.