2023 APSA Solanaciars Thank God It’s Friday - Session 3 29 September 2023 / 2:00 pm - 4:00 pm (GMT+7)


2023 APSA Solanaciars TGIF Session 3
29 September 2023; 14:00 – 16:00 hrs. (GMT+7)

Whitefly Solanaceae Inter Play

14:00 - 14:05

Opening of the Webinar
Dr. Conrado Balatero, Member, APSA R&D Advisory Group

14:05 - 14:10

New variety releases or endorsements 

14:10 - 14:40

Correlation of whitefly population with weather parameters and management of leaf curl of chilli
Mrs. Thriveni KP,
Department of Plant Pathology, RVS Agricultural University, College of Agriculture, India

14:40 - 15:00

Discussion and Q&A Session

15:00 - 15:30

Identification of Resistance to Geminivirus and Whitefly in Pepper
Dr Awang Maharijaya
, IPB University: Institute Pertanian Bogor

15:30 - 15:50

Discussion and Q&A Session

15:50 - 16:00

Closing remarks
Dr. Conrado Balatero, Member, APSA R&D Advisory Group


Mrs. Thriveni K P, 
M Sc (Agri), Department of Plant Pathology, College of Agriculture, Indore, MP, India.

Mrs. Thriveni K P was a student researcher Plant Pathologist in the College of Agriculture, Indore. During my tenure of research, I have been associated with the NCIPM New Delhi’s Project. 1) Collecting and analyzing data 2) Extraction of DNA from infected plants 3) PCR Techniques 4) Gel electrophoresis work.

Correlation of whitefly population with weather parameters and leaf curl incidence and Management of leaf curl of chilli.
Dept. of Plant Pathology, RVS Agricultural University, College of Agriculture, Indore. M. P. 452001, India.

Study on the population dynamics of whitefly, (Bemisia tabaci Genn.) during Kharif 2016 on chilli revealed that whitefly appeared in the 33rd  SMW and continued up to 43rd  SMW. The peak population was observed in 37th   SMW.  The population exhibited a positive non significant correlation with the leaf curl incidence (r=0.127). When the population was correlated with  the  abiotic  factors  of  the  same  week,  which  exhibited  a  positive  significant correlation  with  maximum  temperature(r=0.25),  positive  non  significant  correlation  with minimum   temperature   (r=0.158),   negative   non significant   correlation   with   the   relative humidity (r= -0.14); negative significant correlation with the wind speed and rain fall. When white  fly  population  was  correlated  with  the  abiotic  factors  of  the  previous  week,  which    exhibited     a     positive     non  significant     correlation     with     maximum temperature(r=0.04) and minimum temperature(r=0.02), negative non significant correlation with  the  relative  humidity  (r=  -  0.17)  and  wind  speed  (r=  -  0.14),  negative  significant correlation  with  rain  fall  (r=  -  0.28).  Crop  could  be  protected  from  disease  by  spraying insecticides   viz.,  Fipronil,  Pyriproxifen+Fenpropathrin,  Buprofezin, and  Neemoil  +  P. fluorescens (alternate) at 10 days interval after leaf curl incidence, reduces the vector  population(5  whitefly/plant)  there  by  decrease the disease incidence and increase in the yield.

Dr. Awang Maharijaya
Plant Breeding Researcher, Center for Tropical Horticulture Studies
Department of Agronomy and Horticulture, IPB University, Indonesia

Dr. Awang Maharijaya holds the position of the director of the Center for Tropical Horticulture Studies and serves as an associate Professor at the Department of Agronomy and Horticulture, IPB University. His research primarily revolves around diverse horticultural crops, such as peppers, shallots, and potatoes. The central focus of his research is to investigate both conventional and biotechnology-based plant breeding methods especially in biotic stress aspects.

Screening of resistance to Gemini virus and whitefly in pepper
Dr. Awang Maharijaya- Center for Tropical Horticulture Studies, IPB University, Indonesia

Pepper yellow leaf curl disease, caused by the Pepper yellow leaf curl Indonesia virus (PepYLCIV), is a major problem in chili pepper production. The availability of varieties resistant to PepYLCIV and its vector, the whitely Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), has the potential to solve this problem. The use of resistant varieties carries various advantages, including, namely: the reduction pest control costs, the lack of production of harmful chemical residues, and their capacity to accepted and used by farmers in the long term. This study aims to identify genotypes that are resistant to PepYLCIV and its vector. Nineteen chili pepper genotypes obtained from the Center for Tropical Horticulture Studies at IPB University were examined in this study through field and laboratory tests. The results of this study showed that two genotypes were found to have a lower disease incidence value of PepYLCIV than the other genotypes: the CR9 genotype, with a value of 10.71%, and the JT5 genotype, which had a value of 19.23%. Additionally, these two genotypes had low disease severity values; CR9 had a disease severity value of 7.14% and was included in the moderately resistant category, while JT5 had a disease severity value of 5.19% and fell under the resistant category. Bonita, CR2, and JT1, can be categorized as genotypes resistant to whitely attack due to their lower attack intensity values compared to the other genotypes. These genotypes all had an attack intensity value of 0%. Several chili pepper (Capsicum annum) genotypes were found to be resistant to whiteflies or PepYLCIV, but JT5 was the cultivar capable of fulfilling both resistance to whiteflies and the virus. This study also found that there was a significant correlation between the numbers of surviving imago and disease incidence in pupae, as well as between disease incidence and disease severity. Thus, we conclude that resistance to whiteflies, which are a PepYLCIV vector, can potentially reduce disease severity in chili pepper plants.



Country / Region Time Zones Event Time
Iowa, USA UTC -05:00 02:00 – 04:00
Israel, Jordan, Lebanon, Syria UTC +02:00 10:00 - 12:00
Kuwait, Turkey UTC +03:00 10:00 - 12:00
Iran UTC +03:30 10:30 – 12:30
Pakistan UTC +05:00 12:00 - 14:00
India, Sri Lanka UTC +05:30 12:30 – 14:30
Nepal UTC +05:45 12:45 – 13:45
Bangladesh, Krygyztan UTC +06:00 13:00 - 15:00
Myanmar UTC +06:30 13:30 - 15:30
Cambodia, Indonesia, Laos, Thailand, Vietnam UTC +07:00 14:00 - 16:00
China, Chinese Taipei, Hong Kong-China, Malaysia, Philippines, Singapore UTC +08:00 15:00 - 17:00
Japan, South Korea UTC +09:00 16:00 - 18:00
Australia (Canberra) UTC +11:00 17:00 - 19:00
New Zealand (Wellington) UTC +13:00 19:00 - 21:00