Screening of chickpea genotypes for boron biofortification potential

Mehboob, Noman; Rizwan, Muhammad; Minhas, Waqas Ahmed; Yasir, Tauqeer Ahmad; Al‐Mohaimeed, Amal M.; Elshikh, Mohamed S.; Hussain, Mubshar

doi:10.1016/j.jksus.2022.102190

Cited by 4 publications

(3 citation statements)

References 35 publications

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“…. Genotypic variation in response to boron deficiency in number of crops have been reported earlier by [46] in Barley, [47] in rice, and [48] Boron efficiency was worked out and it ranged from 90 to 94 per cent among rice genotypes (Table 4). There are several mechanisms that could be involved in nutrient efficiency that include root process that increase the bioavailability of soil nutrients to root uptake, enhanced root uptake and translocation of nutrients from root to shoot [49].…”

Section: Identification Of High Yielding Rice Genotypes Using Stress ...mentioning

confidence: 58%

Response of Rice Genotypes to Boron Fertilization and Screening of Efficient Rice Varieties under Boron Stress in Inceptisol

Sriramachandrasekharan²,

Senthilvalavan³

2022

IJPSS

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A pot culture experiment was conducted on Karaikal soil series (Vertic Ustropept) to study the response of rice genotypes to boron addition and screening efficient genotypes using stress indices. Ten rice genotypes were tested at two (0, 2 mg kg-1) level of boron. The result revealed that the highest grain yield (88.40 g pot-1) and straw yield (114.7 g pot-1), and the maximum grain boron uptake (2192.3 µg pot-1) and straw boron uptake (3291.9 µg pot-1) were recorded with application 2.0 mg boron kg-1. Amongst rice genotypes, ADT 50 recorded significantly the highest grain and straw yield, boron uptake and boron use efficiency compared to other genotypes on application of boron @ 2 mg kg-1. From the study results, we observed that there are significant differences among rice genotypes on yield, boron uptake and use efficiency with boron fertilization compared to no boron application. Further, based on stress tolerance index (STI), yield under stress (Ys) and adequate condition (Yp) rice genotypes were categorized into Group A – uniform superiority under stress and non – stress condition – ADT 50, ADT43 and ADT 53 with high STI > 1.0; Group B - perform favorably only under non – stress condition - ADT 46, ADT 52,ADT 51, ADT 40 and ADT 37 – STI - 0.7 to 1.0; Group C – genotype yield relatively higher only under stress environment – no genotypes ; Group D – genotype perform poorly in both stress and non-stress environment – ADT 38 and ADT 39 with low STI < 0.70.

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Section: Identification Of High Yielding Rice Genotypes Using Stress ...mentioning

confidence: 58%

Response of Rice Genotypes to Boron Fertilization and Screening of Efficient Rice Varieties under Boron Stress in Inceptisol

Sriramachandrasekharan²,

Senthilvalavan³

2022

IJPSS

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“…Foliar spray of nutrients is the best method of fertilizer application to control their losses from the soil and make them more easily available to the plant and thus increase the quantity and quality of the yield. Mehboob et al (2022) showed that foliar fertilization of chickpea plants with boron contributed to an increase in the number and size of leaves on plants, lateral branching, pods on plants, 1,000-seed weight, and seed yield. e results obtained by Sahare et al (2019) showed an increase in plant height, aboveground weight, number of first and second order branches, number of pods on plants, and seeds in pods.…”

Section: Discussionmentioning

confidence: 99%

Effect of fertilization and microbial preparations on productivity of chickpea (<i>Cicer arietinum</i> L.)

Yeremko,

Hanhur,

Staniak

2024

Acta Agro

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The aim of the study was to optimize the nutritional status and increase the productivity of chickpeas through the application of mineral and organic-mineral fertilizers as well as microbial preparations based on nitrogen–fixing, phosphorus–mobilizing, and potassium-mobilizing microorganisms. The research was conducted in 2019-2021 in the Poltava Research Agricultural Station (Ukraine). NPK fertilizers were applied at a dose, of 20, 80, and 80 kg ha<sup>-1</sup>, respectively. Before sowing, the seeds were inoculated with the microbial preparation BiNitro Chickpea (BN) and Biofosforyn (BF). Foliar feeding was carried out with the microfertilizer Freya–Aqua™ C(12) Legumes (F). The development of chickpea leaf area and the intensity of organic matter production were largely determined by the supply of the main macronutrients to the plants. The introduction of NPK significantly increased leaf area and net photosynthetic productivity, while the effect of BN, BF, and F on the values of these indices was not significant. Their effect was manifested during the accumulation of aboveground biomass and the formation of yield structure elements. An increase in the seed yield was shown in relation to the application of NPK, microbial preparations, and micronutrient fertilizers. Regardless of the NPK, the highest yield was shown in the variant of the combination of BN+BF+F.

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“…Modern definitions and formalisations of NAR and CGR are given by A. Khan et al (2023); for LAD, LAI -by N. Mehboob et al (2022); BMD, BMI in TAE category 2 -biomass-GI, similar to LAD, LAI.…”

Section: Introductionmentioning

confidence: 99%

Stochastic predetermination of bioproductivity component by the growth features of winter wheat upper leaf blades

Dubytska,

Kachmar,

Dubytskyi

et al. 2024

Scientific Horizons

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The relative and absolute importance of a number of traits, in particular, agrophysiological, morpho-functional, at the level of individual organs and parts of an integral plant, and/or sowing for the development of features of biological traits, and other agroecologically significant components of the crop production process, has been discussed in research papers for a long time. The purpose of the study was to search for agroecologically significant signs of growth of the upper leaf blades (ULB), which can empirically and potentially determine the development of the grain dry mass (GDM) of winter wheat under “model” conditions of biological agrotechnical influences designated as biological fertiliser systems. Methods used in the research: methodological approaches of field experiments, gravimetric, convective drying, and stochastic methods. The development of GDM was largely driven by potentially scalable integral growth traits of ULB – leaf area duration, biomass duration (LADULB, BMDULB, respectfully) or their combinations with potentially non-scalable features of the average growth rate ULB – net assimilation rate, relative growth rate (NARULB, RGRULB, respectively). It is also highly probable that LADULB may play a central role in the development of RGRULB or BMDULB (but not NARULB). The coordination of RGRULB with NARULB was not excluded, although it was overly complicated. The construction of such and similar studies in the line of an exhaustive explanation of consistent systemic and mechanistic predeterminations of the production process with signs of ULB growth under various agrotechnical and biological influences will improve discursive and mathematical simulation constructs that can characterise and integrate the differential effects of plant components on photosynthesis of leaf cover, crown, and ultimately on the processes of development of components of the final biological and economic yield of winter wheat

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Screening of chickpea genotypes for boron biofortification potential

Cited by 4 publications

References 35 publications

Response of Rice Genotypes to Boron Fertilization and Screening of Efficient Rice Varieties under Boron Stress in Inceptisol

Response of Rice Genotypes to Boron Fertilization and Screening of Efficient Rice Varieties under Boron Stress in Inceptisol

Effect of fertilization and microbial preparations on productivity of chickpea (<i>Cicer arietinum</i> L.)

Stochastic predetermination of bioproductivity component by the growth features of winter wheat upper leaf blades

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