Prediction of Critical Periods for Weed Interference in Soybean
Absy, R., Yacoub, I. (2020). Prediction of Critical Periods for Weed Interference in Soybean. EKB Journal Management System, 11(1), 25-34. doi: 10.21608/jpp.2020.77988
R. Absy; I. H. Yacoub. "Prediction of Critical Periods for Weed Interference in Soybean". EKB Journal Management System, 11, 1, 2020, 25-34. doi: 10.21608/jpp.2020.77988
Absy, R., Yacoub, I. (2020). 'Prediction of Critical Periods for Weed Interference in Soybean', EKB Journal Management System, 11(1), pp. 25-34. doi: 10.21608/jpp.2020.77988
Absy, R., Yacoub, I. Prediction of Critical Periods for Weed Interference in Soybean. EKB Journal Management System, 2020; 11(1): 25-34. doi: 10.21608/jpp.2020.77988

Prediction of Critical Periods for Weed Interference in Soybean

Journal of Plant Production
Article 4, Volume 11, Issue 1, January 2020, Page 25-34  XML PDF (670.85 K)
Document Type: Original Article
DOI: 10.21608/jpp.2020.77988
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Authors
R. Absy email 1; I. H. Yacoub2
1Agronomy Department, Faculty of Agriculture, Cairo University, Giza, Egypt
2Agronomy Dept., Fac. , Agric., Cairo University.
Abstract
Ten competition periods as treatments (T1-10) could be valuable for predicting increase productivity (W) T1 to T5 were allowed to infest the crop and (WF) T6 to T10 was kept weed free, weed competition periods for W and WFi.e. 3, 6, 9, 12 Weeks after emergence (WAE) and up to harvest. So, two field experiments were conducted season 2018 and 2019. Critical Periods for Weed Control (CPWC) was determined based on relative percentage yield ton/h-1 (SY %) of weed free as a check by fitting curves regression models (linear and non-linear, which recommended losing yield value 10%. with seed yield reduction t/h-1 declined from 2.3, 2.28 WF to 0.39- 0.36 W as a checked treatment for 1st, 2nd seasons, respectively about 83.33%, 85% due to relative seed yield. Gompertz as a non linear regression equation recorded 0.99* The effects of treatment classified into 3 groups where A involved 5 superior treatments (T1, T7, T8, T9 and T10). However, T4 and T5 described inferior treatments which  located in group C. Low of weed density and increasing of weed index (WI %) 80% observed for 1st season of T4 but T5 was translocated with increasing both weeds number and severed for weed index. It could be summarized that it should be keeping crop weed-free during stages 2nd week and continue until 8th week after crop emergence, which is providing maximum seed yield of soybean.
 
Keywords
Soybean; Critical periods; weed interference and linear; non linear regression
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