GENETIC PARAMETERS AND SELECTION INDEX OF HIGH-YIELDING TOMATO F2 POPULATIONS

Author:

FADHILAH A.N.,FARID M.,RIDWAN I.,ANSHORI M.F.,YASSI A.

Abstract

Despite the increasing consumption of tomato (Solanum lycopersicum Mill.) in Indonesia, its yield capacity is lower than its demand. However, establishing high-yielding tomato varieties can overcome this. Strain in F2 populations is the first step in assembling high-yielding tomato genotypes through systematic selection, one through using a selection index. The latest study aimed to identify the genetic diversity and the effectiveness of the selection index for high-yielding F2 tomato population selection. The research took place from September to December 2021 at the Faculty of Agriculture Experimental Field, Hasanuddin University, Makassar, South Sulawesi, Indonesia. The study used an augmented design consisting of four blocks with complete randomization. Nine experimental units were used in this study, consisting of three F2 lines plotted into four blocks with no repetition and three cultivars that repeated in each block as genotype check. The study of 15 growth parameters used analysis of variance, correlation, and path analysis. Results revealed that the selection index proved efficient in selecting the F2 generation of tomato strain populations. Almost all the characters have the highest genetic diversity and showed potential for selection criteria usage. The total number of fruits (0.52), fruit diameter (0.32), and fruit weight (0.29) showed a direct influence on yield, and can serve as selection criteria for yield. The selection criteria were formulated into a selection index, producing 75 tomato strains potentially suitable as families in the F3 generation.

Publisher

Society for the Advancement of Breeding Research in Asia and Oceania

Subject

Horticulture,Agronomy and Crop Science,Genetics,Animal Science and Zoology,Biotechnology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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