Mega–Environment Concept in Agriculture: A Review

Chowdhury, Debdali; Bharadwaj, Anshu; Sehgal, Vinay Kumar

doi:10.20546/ijcmas.2019.801.224

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…To study the spatial variation in production, the wheatgrowing regions of India are divided into spring wheat environments (SWEs) based on the mega-environment concept (Chowdhury et al, 2019). For this purpose, we divide the wheat-growing regions of India into five SWEs (Fig.…”

Section: Country-scale Simulationsmentioning

confidence: 99%

Impact of environmental changes and land management practices on wheat production in India

et al. 2020

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Abstract. Spring wheat is a major food crop that is a staple for a large number of people in India and the world. To address the issue of food security, it is essential to understand how the productivity of spring wheat varies with changes in environmental conditions and agricultural management practices. The goal of this study is to quantify the role of different environmental factors and management practices on wheat production in India in recent years (1980 to 2016). Elevated atmospheric CO2 concentration ([CO2]) and climate change are identified as two major factors that represent changes in the environment. The addition of nitrogen fertilizers and irrigation practices are the two land management factors considered in this study. To study the effects of these factors on wheat growth and production, we developed crop growth processes for spring wheat in India and implemented them in the Integrated Science Assessment Model (ISAM), a state-of-the-art land model. The model is able to simulate the observed leaf area index (LAI) at the site scale and observed production at the country scale. Numerical experiments are conducted with the model to quantify the effect of each factor on wheat production on a country scale for India. Our results show that elevated [CO2] levels, water availability through irrigation, and nitrogen fertilizers have led to an increase in annual wheat production at 0.67, 0.25, and 0.26 Mt yr−1, respectively, averaged over the time period 1980–2016. However, elevated temperatures have reduced the total wheat production at a rate of 0.39 Mt yr−1 during the study period. Overall, the [CO2], irrigation, fertilizers, and temperature forcings have led to 22 Mt (30 %), 8.47 Mt (12 %), 10.63 Mt (15 %), and −13 Mt (−18 %) changes in countrywide production, respectively. The magnitudes of these factors spatially vary across the country thereby affecting production at regional scales. Results show that favourable growing season temperatures, moderate to high fertilizer application, high availability of irrigation facilities, and moderate water demand make the Indo-Gangetic Plain the most productive region, while the arid north-western region is the least productive due to high temperatures and lack of irrigation facilities to meet the high water demand.

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Section: Country-scale Simulationsmentioning

confidence: 99%

Impact of environmental changes and land management practices on wheat production in India

et al. 2020

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“…Silva et al [10] reported that mega-environment trials could lead to complex GEIs and obtained information about the relationship between trial environments. Information obtained from mega-environment trials was very helpful for plant breeders in managing GEIs and extracting them into the same agro-climatic concept [11]. According to Zdziarski et al [12], mega-environment trial provides information on specifc adapted lines based on regional targets and regional climate.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis to Select the Stable and High Yielding of Black Soybean (Glycine max (L) Merril) in Indonesia

Susanto¹,

Maulana

Putri

et al. 2023

International Journal of Agronomy

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Selecting high-yielding and stable genotypes is the main goal of black soybean breeding. Testing new lines in multiple environments is one of the development processes in black soybean breeding. The aims of the research were (i) to identify the effects of genotype, environment, and their interactions (GEIs) on the grain yield of soybean lines in Java Island; (ii) to select stable and high-yielding soybean lines; (iii) to determine the discriminative environments; and (iv) to determine the concept of stability measurements on black soybean grain yields. Field trials of 10 new F8 promising lines and three check varieties were conducted under eight different environments during four years (2016–2019). The measurement results showed that the grain yield was influenced by genotype (8.35%), environment (59.49%), and GEIs (32.16%). Grain yield stability measurements showed that the four newly identified lines had high yields and were stable in eight environments; they were A-5A-PSJ (S2), DB-96-CTY (S5), UP 161 (S6), and UP 162 (S7). The Ngawi (2017), followed by Bogor (2019) and Banyuwangi (2016), has the strongest interactive capabilities and is suitable for use as a trial environment. Grain yield (Y) was identified as having a positive and significant correlation ( p < 0.05 ) with S(3), S(6), NP(2), NP(3), NP(4), KR, and YSI stability measurements, which indicated that they were included in the concept of dynamic stability measurement. The selected genotypes can be proposed for the release of new high-yielding black soybean varieties in Indonesia.

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“…Modern agriculture has been continuously compelled to advance and to make use of sustainable technologies. Such technologies include genetic breeding tools, efficient-release fertilizers, soil management strategies, intelligent use of water and agrochemicals, internet of things, crop and weather monitoring, nanotechnology and integrated techniques of farm administration among others (Ali et al, 2018;Chowdhury et al, 2019;Leakey et al, 2019;Lowenberg-DeBoer & Erickson 2019;Pandey et al, 2019;Saiz-Rubio & Rovira-Má s, 2020;Singh & Singh, 2020;Devlet, 2021).…”

Section: Introductionmentioning

confidence: 99%

Improving Soybean Production Using Light Supplementation at Field-Scale: A Case Study

Lemes¹,

Azevedo²,

Domiciano³

et al. 2021

JAS

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In modern agriculture, there is a growing need for increasing crop efficiency while minimizing environmental impacts. The use of high-efficiency light supplementation to enhance plant development is limited for high-productive crops at field conditions (outdoor). This study evaluated the soybean plant’s yield responses in an open commercial area (field scale) cultivated under conditions of artificial light supplementation. A commercial irrigated (pivot) area received an illumination system for light supplementation (LS) in its inner pivot spans. About 40 hours of LS were applied to the plants during the soybean crop cycle. The area’s outer pivot spans did not receive light supplementation (nLS). The internode number, the plant height, the pods per plant were evaluated weekly to compute the area under the progress curve (AUPC). The grain yield at harvest was also assessed. The AUPC of the internode number, plant height and pods per plant were positively affected by the LS treatment. The regular soybean cycle (nLS) is about 17 weeks; however, the LS harvest occurred three weeks later. Light supplementation increased soybean grain yield by 57.3% and profitability by 180% when compared to nLS. Although light supplementation at field scale poses a challenge, it is now affordable since sustainable field resistant technologies are now available. The present study is the first known report of light supplementation used to improve soybean crop production at field scale.

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Mega–Environment Concept in Agriculture: A Review

Cited by 10 publications

References 4 publications

Impact of environmental changes and land management practices on wheat production in India

Impact of environmental changes and land management practices on wheat production in India

Stability Analysis to Select the Stable and High Yielding of Black Soybean (Glycine max (L) Merril) in Indonesia

Improving Soybean Production Using Light Supplementation at Field-Scale: A Case Study

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