(e)品种推荐系统

Rajnish Singh, S. Singh
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引用次数: 0

摘要

在2019-2020年拉比季节,采用随机区组设计,对13个小麦品种进行了田间试验,目的是为北方邦东部Deoria地区的农民客观选择和准确推荐适合的种植类型。以株高(cm)、旗叶面积(cm2)、花梗长(cm)、穗长(cm)、有效分蘖数、穗粒数(粒数)、粒重(g)、穗粒数、试重(g)、单株产量(g)、单株生物产量(g)、收获指数(%)等12个性状进行评价。采用归一化累积秩法客观地选择适宜的作物理想型。将排名前5位的HD-2967、MACS-6222、HUW-669、K-0307和HUW-213精准推荐给本地区农民种植。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection and Precis(e) Varietal Recommender System
A field experiment in a randomized block design was conducted during Rabi season 2019-2020 on 13 wheat varieties with the twin objectives of objectively selecting and precisely recommending the suitable plant types to farmers of Deoria district in eastern Uttar Pradesh. The varieties were evaluated on 12 characters like plant height (cm), flag leaf area (cm2), peduncle length (cm), spike length (cm), effective tillers, grains per spike (grain number), grain weight (g), spikelets per spike, test weight (g), grain yield per plant (g), biological yield per plant (g) and harvest index (%). Normalized cumulative ranks were used to objectively select suitable crop ideotypes. The top five varieties viz., HD-2967, MACS-6222, HUW-669, K-0307 and HUW-213 were precisely recommended to farmers of this region for cultivation.
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