Identifying phosphorus use efficient genotypes by evaluating a chickpea reference set across different phosphorus regimes

生物 农学 集合(抽象数据类型) 计算机科学 材料科学 冶金 程序设计语言
作者
Aiswarya S. Kumar,Satinder Singh,Parul Sharma,Inderjit Singh,Sonia Salaria,Srinivasan Samineni,Mahendar Thudi,B. S. Gill,Sarvjeet Singh
出处
期刊:Plant Genetic Resources [Cambridge University Press]
卷期号:22 (5): 267-276 被引量:3
标识
DOI:10.1017/s1479262124000236
摘要

Abstract Low phosphorus use efficiency (PUE) is one of the abiotic factors that hamper yield and production potential in chickpea ( Cicer arietinum L.). Higher yield coupled with improved PUE can make this crop more adaptive and competitive to wide cropland area, especially on marginal soils having low-level phosphorus (P). To identify chickpea germplasm lines that assimilate phosphorus more efficiently under P-deficient soils, 288 diverse genotypes of chickpea belonging to reference set were evaluated for yield component traits and PUE under field conditions for two consecutive years at two phosphorus levels (low P – no phosphorus application and high P – phosphorus application at 40 kg/ha). Based on 2-year evaluation of data under high and low P soil conditions, we identified strong correlations for traits like number of primary and secondary branches, number of pods, biological yield and seed yield indicating that these traits can be used as proxy traits for PUE. ICC 6571 was the best performing genotype under low P conditions while ICC 6579 yielded maximum under high P regime. We report 16 genotypes namely ICC 1052, ICC 1083, ICC 1098, ICC 1161, ICC 2072, ICC 4418, ICC 4567, ICC 4991, ICC 5504, ICC 5639, ICC 7413, ICC 8350, ICC 9590, ICC 9702, ICC 11584 and ICC 13357 as phosphorus use efficient genotypes based on their better performance for yield and yield-contributing traits under low P compared to high P conditions. These genotypes can be exploited in future as potential donors for development of phosphorus use efficient chickpea cultivars.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
bkagyin应助黎樱采纳,获得10
刚刚
打打应助古儿采纳,获得10
1秒前
警长完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
斯文败类应助Zxr采纳,获得10
3秒前
共享精神应助带象采纳,获得10
3秒前
3秒前
在水一方应助愤怒的念露采纳,获得10
4秒前
可乐必妥发布了新的文献求助10
5秒前
个性冰海完成签到,获得积分10
6秒前
专注宫苴发布了新的文献求助10
6秒前
怡心亭完成签到,获得积分10
7秒前
明理半山完成签到,获得积分10
7秒前
积极雅青完成签到,获得积分10
7秒前
8秒前
9秒前
11秒前
CodeCraft应助高贵电源采纳,获得10
12秒前
12秒前
12秒前
13秒前
aliu发布了新的文献求助10
13秒前
14秒前
谦让的太阳完成签到,获得积分10
15秒前
16秒前
16秒前
16秒前
忧虑的靖巧完成签到 ,获得积分0
17秒前
17秒前
sy发布了新的文献求助10
17秒前
Zxr发布了新的文献求助10
17秒前
汉堡包应助小陈采纳,获得20
17秒前
水工佬完成签到,获得积分10
18秒前
molihuakai应助书双采纳,获得10
18秒前
19秒前
英吉利25发布了新的文献求助10
19秒前
MHY发布了新的文献求助10
20秒前
浅陌亦汐发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638481
求助须知:如何正确求助?哪些是违规求助? 9211737
关于积分的说明 19759776
捐赠科研通 7205450
什么是DOI,文献DOI怎么找? 3275880
关于科研通互助平台的介绍 2437447
邀请新用户注册赠送积分活动 2273082