PREDICTION OF DRY MATTER PRODUCTION AND LEAF AREA INDEX IN FABA BEAN (VICIA FABAL. ) UNDER DIFFERENT PLANTING DATES AND DENSITIES

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EBRAHIMI NAJIBOLLAH; TORABI BENJAMIN; SOLTANI AFSHIN; ZEINALI EBRAHIM

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Journal: JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE) Year:2018 | Volume:20 | Issue:1 Page(s): 283-298

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Title

PREDICTION OF DRY MATTER PRODUCTION AND LEAF AREA INDEX IN FABA BEAN (VICIA FABAL. ) UNDER DIFFERENT PLANTING DATES AND DENSITIES

Author(s)

EBRAHIMI NAJIBOLLAH | TORABI BENJAMIN | SOLTANI AFSHIN | ZEINALI EBRAHIM | Issue Writer Certificate

Keywords

AICCQ3

CROP GROWTH RATEQ3

DENSITYQ2

EVALUATIONQ2

MODELQ1

Abstract

To analyze the growth, it is necessary to access to accurate and well-arranged data obtained frommeasuring leaf area and dry matter accumulation. The purpose of this study was to evaluate differentnonlinear regression MODELs to study the trend of changes in leaf area index and dry matter productionand to estimate the parameters related to the growth analysis. The experiment was conducted on faba bean"cv. Barkat" in a split-plot experiment based on randomized complete block design with three plantingdates and four densities in four replications. In this study, the beta and logistic MODELs were fitted to theleaf surface data and the beta, Gompertz and logistic MODELs to dry matter production. AICC benchmarkshowed that the beta MODEL was fitted to the leaf surface data the better than the logistic MODEL. LAImax indifferent densities varied between 2. 3 to 5. 3, tm between 131. 9 and 144. 2, and te between 158. 7 and 163. 5days after planting. AICC benchmark showed that the beta MODEL was fitted to the dry matteraccumulation data the better than the Gompertz and logistic MODELs. Wmax in different densities variedbetween 725. 1 and 1484. 3 g/m2, tm between 138. 3 and 146. 4 and te between 162. 60 and 179. 0 days afterplanting. Grain yield varied from 231 to 2744 g/m2, and with increasing DENSITY in each planting date, grain yield showed the increased trend. The results showed that yield changes were directly affected bymaximum leaf area index, maximum dry matter accumulation and CROP GROWTH RATE.

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APA: Copy

EBRAHIMI, NAJIBOLLAH, TORABI, BENJAMIN, SOLTANI, AFSHIN, & ZEINALI, EBRAHIM. (2018). PREDICTION OF DRY MATTER PRODUCTION AND LEAF AREA INDEX IN FABA BEAN (VICIA FABAL. ) UNDER DIFFERENT PLANTING DATES AND DENSITIES. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), 20(1 ), 283-298. SID. https://sid.ir/paper/209525/en

Vancouver: Copy

EBRAHIMI NAJIBOLLAH, TORABI BENJAMIN, SOLTANI AFSHIN, ZEINALI EBRAHIM. PREDICTION OF DRY MATTER PRODUCTION AND LEAF AREA INDEX IN FABA BEAN (VICIA FABAL. ) UNDER DIFFERENT PLANTING DATES AND DENSITIES. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE)[Internet]. 2018;20(1 ):283-298. Available from: https://sid.ir/paper/209525/en

IEEE: Copy

NAJIBOLLAH EBRAHIMI, BENJAMIN TORABI, AFSHIN SOLTANI, and EBRAHIM ZEINALI, “PREDICTION OF DRY MATTER PRODUCTION AND LEAF AREA INDEX IN FABA BEAN (VICIA FABAL. ) UNDER DIFFERENT PLANTING DATES AND DENSITIES,” JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), vol. 20, no. 1 , pp. 283–298, 2018, [Online]. Available: https://sid.ir/paper/209525/en

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