Genetic Variability and Genotype X Environment Interactions Effect on Grain Iron (Fe) and Zinc (Zn) Concentration in Lentils and Their Characterization under Terai Environments of Nepal

{"title":"Genetic Variability and Genotype X Environment Interactions Effect on Grain Iron (Fe) and Zinc (Zn) Concentration in Lentils and Their Characterization under Terai Environments of Nepal","authors":"","doi":"10.33140/anfs.05.01.01","DOIUrl":null,"url":null,"abstract":"Billions of peoples are directly affected from the micronutrient malnutrition called hidden hunger affecting one in three\npeople. Micronutrient Iron (Fe), and zinc (Zn) deficiencies affect large numbers of people worldwide. Iron (Fe) deficiency\nleads to maternal mortality, mental damage and lower disease resistant of children. Likely Zinc (Zn) deficiency is responsible\nfor stunting, lower respiratory tract infections, and malaria and diarrhea disease in human beings. Nepalese lentils are\nin fact rich sources of proteins and micronutrients (Fe, Zn) for human health and straws as a valuable animal feed. It has\nability to sequester N and C improves soil nutrient status, which in turn provides sustainable production systems. Twenty five\nlentil genotypes were evaluated to analyze genotype × environment interaction for iron and zinc concentration in the grains.\nAnalysis of variance (ANOVA) indicated that the accessions under study were found varied significantly (P=<0.001) for\nboth seed Fe and Zn concentrations at all the three locations. Pooled analysis of variance over locations displayed highly\nsignificant (at P=<0.001) differences between genotypes, locations and genotype × location interaction for Zn micronutrient\nbut insignificant genotype x location interaction was found in Fe micronutrient. Among 25 genotypes, the ranges for seed Fe\nconcentration were 71.81ppm (ILL-2712)-154.03 ppm (PL-4) (mean 103.34 ppm) at Khajura, 79.89 ppm (ILL-3490)-128.14\nppm (PL-4) (mean 95.43 ppm) at Parwanipur, and 83.92 ppm (ILL-7979) -137.63 ppm (ILL-6819) (mean 103.11ppm) at\nRampur, while the range across all the three locations was 82.53 ppm (ILL-7979) -133.49 ppm (PL-4) (mean 101.04 ppm).\nLikely the range for seed Zn concentration was 53.76 ppm (ILL-7723) – 70.15 ppm (ILL-4605) (mean 61.84 ppm) at Khajura,\nwhile the ranges for Parwanipur and Rampur were 54.21 ppm (ILL-7723) -91,94 ppm (ILL-4605) (mean 76.55 ppm) and\n46.41 ppm (LG-12) – 59.95 ppm (ILL-4605) (mean 54.27 ppm) , respectively. The range across the three environments was\n54.03 ppm (ILL-7723) – 75.34 ppm (HUL-57) (mean 64.22 ppm). Although both the micronutrients were influenced by\nenvironment, seed Fe was more sensitive to environmental fluctuations in comparison to seed Zn concentration. The G × E\nstudy revealed that it was proved that genotypes Sagun, RL-6 and LG-12 were more stable for seed Fe concentration and\ngenotypes WBL-77, ILL-7164, RL-11 were found more stable for seed Zn concentration. In the AMMI analysis employing\nGollob’s test, first two PC explained 100% of the G × E variation. PC 1 and PC 2 explained 87.19% and 12.81% of total\nG × E interactions for Fe concentration and likely for Zn concentration; PC1 and PC2 explained 70.11% and 29.88%,\nrespectively. The critical perusal of biplot revealed that Parawnipur locations was found to discriminating power for Fe\nconcentration while for Zn concentration Khajura location was found to be most discriminative. The critical analysis of\npedigree vis-à-vis micronutrient concentration did not reveal any correlation. This is probably the first report on iron and\nzinc concentration in lentil from Nepal.","PeriodicalId":173678,"journal":{"name":"Advances in Nutrition & Food Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Nutrition & Food Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/anfs.05.01.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Billions of peoples are directly affected from the micronutrient malnutrition called hidden hunger affecting one in three people. Micronutrient Iron (Fe), and zinc (Zn) deficiencies affect large numbers of people worldwide. Iron (Fe) deficiency leads to maternal mortality, mental damage and lower disease resistant of children. Likely Zinc (Zn) deficiency is responsible for stunting, lower respiratory tract infections, and malaria and diarrhea disease in human beings. Nepalese lentils are in fact rich sources of proteins and micronutrients (Fe, Zn) for human health and straws as a valuable animal feed. It has ability to sequester N and C improves soil nutrient status, which in turn provides sustainable production systems. Twenty five lentil genotypes were evaluated to analyze genotype × environment interaction for iron and zinc concentration in the grains. Analysis of variance (ANOVA) indicated that the accessions under study were found varied significantly (P=<0.001) for both seed Fe and Zn concentrations at all the three locations. Pooled analysis of variance over locations displayed highly significant (at P=<0.001) differences between genotypes, locations and genotype × location interaction for Zn micronutrient but insignificant genotype x location interaction was found in Fe micronutrient. Among 25 genotypes, the ranges for seed Fe concentration were 71.81ppm (ILL-2712)-154.03 ppm (PL-4) (mean 103.34 ppm) at Khajura, 79.89 ppm (ILL-3490)-128.14 ppm (PL-4) (mean 95.43 ppm) at Parwanipur, and 83.92 ppm (ILL-7979) -137.63 ppm (ILL-6819) (mean 103.11ppm) at Rampur, while the range across all the three locations was 82.53 ppm (ILL-7979) -133.49 ppm (PL-4) (mean 101.04 ppm). Likely the range for seed Zn concentration was 53.76 ppm (ILL-7723) – 70.15 ppm (ILL-4605) (mean 61.84 ppm) at Khajura, while the ranges for Parwanipur and Rampur were 54.21 ppm (ILL-7723) -91,94 ppm (ILL-4605) (mean 76.55 ppm) and 46.41 ppm (LG-12) – 59.95 ppm (ILL-4605) (mean 54.27 ppm) , respectively. The range across the three environments was 54.03 ppm (ILL-7723) – 75.34 ppm (HUL-57) (mean 64.22 ppm). Although both the micronutrients were influenced by environment, seed Fe was more sensitive to environmental fluctuations in comparison to seed Zn concentration. The G × E study revealed that it was proved that genotypes Sagun, RL-6 and LG-12 were more stable for seed Fe concentration and genotypes WBL-77, ILL-7164, RL-11 were found more stable for seed Zn concentration. In the AMMI analysis employing Gollob’s test, first two PC explained 100% of the G × E variation. PC 1 and PC 2 explained 87.19% and 12.81% of total G × E interactions for Fe concentration and likely for Zn concentration; PC1 and PC2 explained 70.11% and 29.88%, respectively. The critical perusal of biplot revealed that Parawnipur locations was found to discriminating power for Fe concentration while for Zn concentration Khajura location was found to be most discriminative. The critical analysis of pedigree vis-à-vis micronutrient concentration did not reveal any correlation. This is probably the first report on iron and zinc concentration in lentil from Nepal.
尼泊尔Terai环境下小扁豆籽粒铁和锌含量的遗传变异和X型环境互作效应及其特征
数十亿人直接受到被称为隐性饥饿的微量营养素营养不良的影响,三分之一的人受到影响。微量营养素铁(Fe)和锌(Zn)缺乏症影响着全世界许多人。缺铁会导致产妇死亡、精神损伤和儿童抗病性降低。锌(Zn)缺乏可能是人类发育迟缓、下呼吸道感染、疟疾和腹泻疾病的原因。尼泊尔扁豆实际上是蛋白质和微量营养素(铁、锌)的丰富来源,对人体健康和秸秆是一种宝贵的动物饲料。它具有固氮和固碳的能力,可以改善土壤养分状况,从而提供可持续的生产系统。选取了25个基因型,分析了基因型与环境的交互作用对籽粒铁、锌浓度的影响。方差分析(ANOVA)表明,三个地点的种子铁和锌含量差异显著(P=<0.001)。地点间方差的汇总分析显示,锌微量营养素的基因型、地点和基因型×位置相互作用之间存在显著差异(P=<0.001),而铁微量营养素的基因型×位置相互作用不显著。在25个基因型中,Khajura的种子浓度范围为71.81ppm (il -2712)-154.03 ppm (PL-4)(平均103.34 ppm), Parwanipur的种子浓度范围为79.89 ppm (il -3490)-128.14ppm (PL-4)(平均95.43 ppm), rampur的种子浓度范围为83.92 ppm (il -7979) -137.63 ppm (il -6819)(平均103.11ppm),而三个地点的种子浓度范围为82.53 ppm (il -7979) -133.49 ppm (PL-4)(平均101.04 ppm)。种子Zn浓度在Khajura的范围可能为53.76 ppm (ILL-7723) ~ 70.15 ppm (ILL-4605)(平均61.84 ppm),而Parwanipur和Rampur的范围分别为54.21 ppm (ILL-7723) ~ 91,94 ppm (ILL-4605)(平均76.55 ppm)和46.41 ppm (LG-12) ~ 59.95 ppm (ILL-4605)(平均54.27 ppm)。三种环境的范围为54.03 ppm (ILL-7723) - 75.34 ppm (hull -57)(平均64.22 ppm)。两种微量元素均受环境影响,但种子铁比种子锌对环境波动更为敏感。G × e研究结果表明,基因型Sagun、RL-6和LG-12对种子铁浓度较为稳定,基因型WBL-77、ILL-7164、RL-11对种子锌浓度较为稳定。在使用gollob测试的AMMI分析中,前两个PC解释了100%的gxe变化。pc1和pc2分别解释了Fe浓度和Zn浓度的87.19%和12.81%的总g × E相互作用;PC1和PC2分别解释了70.11%和29.88%。双标图的临界阅读结果表明,Parawnipur位点对Zn浓度的辨别能力最强,而Khajura位点对Zn浓度的辨别能力最强。家谱与-à-vis微量营养素浓度的临界分析没有发现任何相关性。这可能是尼泊尔产扁豆中铁和锌含量的首次报道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信