Identification of Promising RILs for High Grain Zinc Through Genotype × Environment Analysis and Stable Grain Zinc QTL Using SSRs and SNPs in Rice (Oryza sativa L.)
Abstract:Polished rice is one of the commonly consumed staple foods across the world. However, it contains limited nutrients especially iron (Fe) and zinc (Zn). To identify promising recombinant inbred lines (RILs) for grain Zn and single plant yield, 190 RILs developed from PR116 and Ranbir Basmati were evaluated in two environments (E1 and E2). A subset of 44 contrasting RILs for grain Zn was screened in another two environments (E3 and E4). Phenotypic data was collected for 10 traits, viz., days to 50% flowering, pl… Show more
“…Rice has been widely consumed as an essential food for human beings and grown around the world. Over half of the world's population constantly include rice in their diet (Rao et al, 2016;Nili et al, 2017;Sharifi et al, 2017;Poli et al, 2018;Suman et al, 2021) and Asian countries produce nearly 80% of rice in the world. Among rice growing countries in the world, India has the largest area under rice crop of about 44.1 million hectares with a production of 165.3 million tons; however, its productivity per unit area is low i.e 3.78 t ha -1 (Kesh et al, 2021).…”
The experiment was carried out under three seasons with 15 genotypes at Agricultural Research Station, Kunaram, Telangana state, India during rabi season (December to April) 2014–15 (E1), kharif season (July to November) 2015 (E2) and rabi season (December to April) 2015–16 (E3). The objective of the study was to assess the stability and adaptability of 15 rice genotypes of the various maturity groups over three seasons. The GGE biplot tool of these 15 rice genotypes of various maturity durations expressed a significant genotype, environment and G×E interaction for yield and days to 50% flowering. Genotype and environment interaction effect was responsible for the greatest part of the variation, followed by genotypes and environment effects for grain yield. Days to 50% flowering of genotypes was highly affected by environments followed by genotypes, and genotype and environment interaction. It also detected that rabi season 2014–15 (E1) was identified as the best suited season for the potential expression of the grain yield, while kharif season 2015 (E2) was the right season for the expression of reduced days to 50% flowering. Further, the what–won–where model indicated that short duration rice genotype G14 (KNM 1690) and medium duration genotype G9 (KNM 1632) in the environments rabi season 2014–15 (E1) and kharif season 2015 (E2), respectively and the early line G11 (KNM 1684) in the environment rabi season 2015–16 (E3) were the winning genotypes and suitable for their respective environments for grain yield. G7 (KNM 1616) was the vertex early genotype and closer to the ideal genotype expressed high yield and stability for all the environments. G13 (KNM 1689) and G14 (KNM 1690) were found to be stable for earliness across all the seasons and could be utilized for the development of early duration varieties. The rice genotype, G15 (BPT 5204) was found to be stable for lateness for all the seasons.
“…Rice has been widely consumed as an essential food for human beings and grown around the world. Over half of the world's population constantly include rice in their diet (Rao et al, 2016;Nili et al, 2017;Sharifi et al, 2017;Poli et al, 2018;Suman et al, 2021) and Asian countries produce nearly 80% of rice in the world. Among rice growing countries in the world, India has the largest area under rice crop of about 44.1 million hectares with a production of 165.3 million tons; however, its productivity per unit area is low i.e 3.78 t ha -1 (Kesh et al, 2021).…”
The experiment was carried out under three seasons with 15 genotypes at Agricultural Research Station, Kunaram, Telangana state, India during rabi season (December to April) 2014–15 (E1), kharif season (July to November) 2015 (E2) and rabi season (December to April) 2015–16 (E3). The objective of the study was to assess the stability and adaptability of 15 rice genotypes of the various maturity groups over three seasons. The GGE biplot tool of these 15 rice genotypes of various maturity durations expressed a significant genotype, environment and G×E interaction for yield and days to 50% flowering. Genotype and environment interaction effect was responsible for the greatest part of the variation, followed by genotypes and environment effects for grain yield. Days to 50% flowering of genotypes was highly affected by environments followed by genotypes, and genotype and environment interaction. It also detected that rabi season 2014–15 (E1) was identified as the best suited season for the potential expression of the grain yield, while kharif season 2015 (E2) was the right season for the expression of reduced days to 50% flowering. Further, the what–won–where model indicated that short duration rice genotype G14 (KNM 1690) and medium duration genotype G9 (KNM 1632) in the environments rabi season 2014–15 (E1) and kharif season 2015 (E2), respectively and the early line G11 (KNM 1684) in the environment rabi season 2015–16 (E3) were the winning genotypes and suitable for their respective environments for grain yield. G7 (KNM 1616) was the vertex early genotype and closer to the ideal genotype expressed high yield and stability for all the environments. G13 (KNM 1689) and G14 (KNM 1690) were found to be stable for earliness across all the seasons and could be utilized for the development of early duration varieties. The rice genotype, G15 (BPT 5204) was found to be stable for lateness for all the seasons.
“…Znrelated chromosome regions found in elite wheat cultivars can be utilized to inform gene transfer studies from Znaccumulating wild species, as carried out between the high-Zn and -Fe Aegilops species and bread wheat (Sharma et al, 2018). Improved rice genome sequences allowed the exploitation of markers, such as simple sequence repeats and single-nucleotide polymorphisms, to identify QTLs for grain Zn and yield in recombinant inbred lines, which led to the establishment of stable lines with desired traits (Suman et al, 2021). As such, QTL analysis of rice doubled haploid lines identified candidate genes associated with both agronomic traits, yield and high concentrations of Zn in grains, for example, genes encoding transporters such as OsZIP6, but also transcription factors (e.g., OsGATA8) and GTPases involved in endosperm protein deposition (e.g., OsSar1) (Calayugan et al, 2020).…”
Section: Genetic Biofortification Approaches For Znmentioning
Zinc plays many essential roles in life. As a strong Lewis acid that lacks redox activity under environmental and cellular conditions, the Zn 2+ cation is central in determining protein structure and catalytic function of nearly 10% of most eukaryotic proteomes. While specific functions of zinc have been elucidated at a molecular level in a number of plant proteins, wider issues abound with respect to the acquisition and distribution of zinc by plants. An important challenge is to understand how plants balance between Zn supply in soil and their own nutritional requirement for zinc, particularly where edaphic factors lead to a lack of bioavailable zinc or, conversely, an excess of zinc that bears a major risk of phytotoxicity. Plants are the ultimate source of zinc in the human diet, and human Zn deficiency accounts for over 400 000 deaths annually. Here, we review the current understanding of zinc homeostasis in plants from the molecular and physiological perspectives. We provide an overview of approaches pursued so far in Zn biofortification of crops. Finally, we outline a ''push-pull'' model of zinc nutrition in plants as a simplifying concept. In summary, this review discusses avenues that can potentially deliver wider benefits for both plant and human Zn nutrition.
“…More recently, Liu et al (2021a) reported that a grain zinc content ranging from 38.22 to 101.38 µg/g in a Chinese wheat mini core collection contained 246 germplasms. However, there have been few large‐scale analyses of endosperm iron and zinc contents in rice and wheat (Zhang et al, 2018a; Suman et al, 2021). In a set of 698 rice germplasms, the concentrations of iron and zinc in the polished rice ranged from 0.9 to 9.1 µg/g and 5.8 to 29.6 µg/g, respectively (Zhang et al, 2018a).…”
Section: Progress In the Biofortification Of Rice And Wheat With Iron...mentioning
confidence: 99%
“…An association analysis of zinc content of 40 genotypes in three environments showed that single nucleotide polymorphisms located in three putative candidate genes on chromosomes 3 and 7 are associated with high zinc content in polished rice (Babu et al, 2020). An analysis of zinc contents in brown and polished rice from 190 recombinant inbred lines (RILs) in four environments identified two major QTL ( qZPR.1.1 and qZPR.11.1 ) for grain zinc content in polished rice on chromosomes 1 and 11, and a common major QTL ( qZBR.2.1 and qZPR.2.1 ) for zinc content in brown and polished rice was identified on chromosome 2 (Suman et al, 2021).…”
Section: Progress In the Biofortification Of Rice And Wheat With Iron...mentioning
Iron and zinc are critical micronutrients for human health. Approximately two billion people suffer from iron and zinc deficiencies worldwide, most of whom rely on rice (Oryza sativa) and wheat (Triticum aestivum) as staple foods. Therefore, biofortifying rice and wheat with iron and zinc is an important and economical approach to ameliorate these nutritional deficiencies. In this review, we provide a brief introduction to iron and zinc uptake, translocation, storage, and signaling pathways in rice and wheat. We then discuss current progress in efforts to biofortify rice and wheat with iron and zinc. Finally, we provide future perspectives for the biofortification of rice and wheat with iron and zinc.
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