Classification of Wheat (Triticum aestivum) Cultivars for Iron Efficiency Under Western India Conditions

IF 1.5 Q3 AGRONOMY
Dileep Kumar, Khushvadan C. Patel, Arvind Kumar Shukla, Sanjib Kumar Behera, Salwinder Singh Dhaliwal, Pradeep Kumar, Ravi A. Patel, Rahul Mishra, Ajay S. Bhanvadia
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Abstract

Globally, iron (Fe) deficiency is the fifth most prevalent micronutrient disorder and remains a major public health concern. About 12.6% of Indian soils are deficient in Fe and its limited availability to crops posing severe threat to the productivity and nutritional quality of the harvest in several Indian states. Agronomic manipulation is inexpensive, simple approach to enrich genetically inefficient cultivars by application of micronutrient fertilizers at different rates, methods and across varied crop growth stages. Hence, present study aimed to categorize Fe efficient genotypes with high yield as well as enhanced Fe uptake in wheat grain. Field experiments were conducted during rabi 2019-20 and 2020-21 seasons in Fe deficient soil to assess the Fe efficiency of twenty (20) wheat cultivars (Triticum aestivum L.) at Anand, (middle Gujarat agro-climatic zone-III) India. The experiment was laid out in Factorial Randomized Block Design (RBD) with two Fe levels (as FeSO4.7H2O fertilizer) treatments viz., Control (without Fe) and 50 kg ferrous sulphate per hectare as soil application with two foliar sprays of 0.5% ferrous sulphate at 45–50 DAS and 75–80 DAS of wheat. Different genotypes significantly differed in their response to applied Fe. Two year results confirmed that the grain yield of genotypes under control ranged from 3658 to 5469 kg ha-1 with an average value of 4699 kg ha-1. The wheat grain yield of different genotypes treated with Fe varied from 4107 to 6304 kg ha-1 with an average yield of 5455 kg ha-1. The grain Fe concentration increased from 6.4 to 28.6% among different genotypes. The genotypes were classified on the basis of grain yield and Fe efficiency and grouped as efficient and responsive (GW 496, GAW 16–16, GW 451), efficient and nonresponsive (HI 1544, GW 513, LOK 1), inefficient and responsive (GW 514, GAW 16 − 07) and inefficient and non-responsive (GW 495, GAW 16 − 10). Hence, growing Fe efficient wheat genotypes with high yield and Fe in grain at low Fe supply would be a sustainable approach to ameliorate Fe micronutrient malnutrition and higher crop production in western part of India.

西印度条件下小麦(Triticum aestivum)品种铁效率的分类
在全球范围内,铁(Fe)缺乏症是第五大最普遍的微量营养素失调,仍然是一个主要的公共卫生问题。印度约12.6%的土壤缺铁,其对作物的供应有限,对印度几个邦的收成的生产力和营养质量构成严重威胁。农艺操作是一种廉价、简单的方法,通过在不同的作物生长阶段以不同的速率、方法施用微量营养素肥料来丰富遗传效率低下的品种。因此,本研究旨在分类小麦籽粒高产和铁吸收增强的铁高效基因型。在印度古吉拉特邦中部农业气候带iii区阿南,于2019- 2020和2020-21季在缺铁土壤中进行了20个小麦品种(Triticum aestivum L.)铁效率的田间试验。试验采用因子随机区组设计(RBD),采用两种铁水平(作为FeSO4.7H2O肥料)处理,即对照(不含铁)和每公顷土壤施用50 kg硫酸亚铁,分别在小麦的45-50 DAS和75-80 DAS叶面喷施0.5%硫酸亚铁。不同基因型对施用铁的反应差异显著。2年试验结果证实,控制基因型的籽粒产量在3658 ~ 5469 kg hm -1之间,平均为4699 kg hm -1。不同基因型铁处理小麦籽粒产量在4107 ~ 6304 kg hm -1之间变化,平均产量为5455 kg hm -1。不同基因型籽粒铁浓度从6.4%增加到28.6%。根据产量和铁效率将基因型分为高效响应型(GW 496、GAW 16 - 16、GW 451)、高效无响应型(HI 1544、GW 513、LOK 1)、低效响应型(GW 514、GAW 16−07)和低效无响应型(GW 495、GAW 16−10)。因此,在低铁供应条件下,种植高产铁高效小麦基因型和籽粒铁将是改善印度西部地区铁微量营养素营养不良和提高作物产量的可持续途径。
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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
24
期刊介绍: The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.
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