Interpretation of Relationship Between Sesame Yield andIt s components under Early Sowing Cropping Condition

• 발행기관: 한국작물학회
• 저자명: Kang-Bo Shim 강철환(Churlwhan Kang) Jae-Duck Seong Chung-Dong Hwang Duck-Yong Suh
• 간행물 정보: 『한국작물학회지』제51권 제4호, 269~273쪽, 전체 5쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2006.09.30

영문 초록

Multiple linear regression analysis was conducted to interpretate the relationship between sesame grain yield and its components under early sowing cropping condition. The t test showed that stem length, number of capsules per plant, 1000 seeds weight and seed weight per plant gave significant contribution to sesame grain yield, therefore those variables were assumed to mostly influenced components to grain yield of sesame. In the stepwise regression analysis, the predicted equation for sesame grain yield per square meter (Y) was Y = -7.900 + 0.150X1 + 0.461X5 + 15.553X6 + 8.543X7. Meanwhile, F value showed that stem length, number of capsules per plant and seed weight per plant gave significant contribution to sesame grain yield, while 1000 seeds weight did not significantly show. Based on the results, it is reasonable to assume that high yield potential of sesame under early sowing cropping condition would be obtained by selecting breeding lines with long stem length, number of capsules per plant, and seed weight per plant, which was different result at the late sowing cropping condition in which days to flowering and maturity were assumed to be more affected factors to the sesame grain yield.

목차

MATERIALS AND METHODS

REFERENCES

키워드

sesame multiple linear regression stepwise regression early sowing cropping system