GROWTH PERFORMANCE, PARTITION COEFFICIENT AND HARVEST INDEX OF WIDELY GROWN POTATO (SOLANUM TUBEROSUM L.) VARIETIES IN ETHIOPIA

Author:

Aragaw Momina, ,Worku Wallelign,Abebe Tesfaye, ,

Abstract

Aim of the study: Aim of the study: The main objective is to compare the differences in growth performance, dry matter partitioning coefficients and harvest index of widely grown potato varieties Material and methods: Materials and Methods: The trial was conducted at Adet Agricultural Research Center, Ethiopia during 2019/2020 and 2020/2021 main cropping season with randomized complete block design with Shenkola, Belete, Gudenie, Guassa, Dagim and Ater Ababa potato varieties. Four different harvesting dates were undertaken (30, 45, 60 and 75 days after planting (DAP). Results and conclusions: Materials and Methods: The trial was conducted at Adet Agricultural Research Center, Ethiopia during 2019/2020 and 2020/2021 main cropping season with randomized complete block design with Shenkola, Belete, Gudenie, Guassa, Dagim and Ater Ababa potato varieties. Four different harvesting dates were undertaken (30, 45, 60 and 75 days after planting (DAP). Results and conclusion At early stages of development, the highest percent of dry matter accumulation went to vegetative growth, and then to tubers in the successive harvests. The maximum tuber yield, bulking rate and harvest index (36.17 t/ha, 4.23 gplant-1day-1 and 0.8) respectively was recorded from Belete variety. Belete variety can give reasonable yield after 45 DAP. Guassa variety (having a PC of 0.92 at 75 DAP) was able to produce 92% of its yield at 75 DAP and its yield was comparable with the highest yielder (Belete variety). In such areas where erratic rainfall is expected, Guassa and Belete varieties can be used as early variety in potato production systems.

Publisher

The University of Agriculture in Krakow

Subject

Nature and Landscape Conservation,Water Science and Technology,Ecological Modeling,Environmental Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3