Conservation agriculture-based wheat production better copes with extreme climate events than conventional tillage-based systems: A case of untimely excess rainfall in Haryana, India

Aryal, Jeetendra Prakash; Sapkota, Tek B.; Stirling, Clare M.; Jat, M.L.; Jat, H.S.; Rai, Mamta; Mittal, Surabhi; Sutaliya, J.M.

doi:10.1016/j.agee.2016.09.013

Cited by 69 publications

(38 citation statements)

References 11 publications

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“…A recent study by Aryal et al . () in the same study area found that farmers mostly practice minimum tillage in the laser‐leveled plots since it is easy to operate zero tillage seed drill. Hence, unless we analyze this effect, it will not be understood that unavailability of laser land leveling can be one of the major factors limiting the adoption of minimum tillage.…”

Section: Econometric Framework and Estimation Strategiesmentioning

confidence: 84%

“…This study focuses on five CSA practices that are among the key practices promoted by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CRP CCAFS) in south Asia. These CSA practices are found to have clear economic as well as climate change adaptation and/or mitigation benefits (for example, see Aryal et al ., , ; Erenstein et al ., ; Khatri‐Chhetri et al ., ; Sapkota et al ., ). According to CCAFS, CSA refers to those practices that help climate change adaptation, GHG mitigation and food security (for details see Aggarwal et al ., ; http://www.ccafs.cgiar.org).…”

Section: Introductionmentioning

confidence: 99%

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Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India

Aryal

Rahut

Maharjan

et al. 2018

Natural Resources Forum

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Climate change poses a major threat to agricultural production and food security in India, and climate‐smart agriculture (CSA) is crucial in addressing the potential impacts. Using survey data from 1,267 farm households in 25 villages from Bihar and Haryana in the Indo‐Gangetic Plains, this study analyzes the factors that determine the probability and level of adoption of multiple CSA practices, including seeds of stress‐tolerant varieties, minimum tillage, laser land leveling, site‐specific nutrient management and crop diversification. We applied a multivariate probit model for the simultaneous multiple adoption decisions, and ordered probit models for assessing the factors affecting the level of adoption. The adoption of the various CSA practices is interrelated, whereas several factors, including household characteristics, plot characteristics, market access and major climate risks are found to affect the probability and level of CSA adoption. Climate‐smart agriculture (CSA) adoption and its intensity also vary significantly between eastern Bihar, which is relatively poor and densely populated, and north‐western Haryana. Engaging multiple stakeholders such as farmers, agricultural institutions, agricultural service providers and concerned government departments at the local level is crucial for the large‐scale uptake of CSA. The study, therefore, calls for agricultural policy reforms so that most of the issues related to the uptake of CSA can be adequately addressed.

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Section: Econometric Framework and Estimation Strategiesmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India

Aryal

Rahut

Maharjan

et al. 2018

Natural Resources Forum

Self Cite

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“…Zero tillage, mainly a mitigation strategy, not only sequesters carbon in the soil but also prevents soil degradation, maintains the nutrient level of the soil, improves soil quality, and ultimately enhances crop productivity and yield (Lal 2004). A recent study in India shows that conservation agriculture-based wheat production systems cope better with rainfall variability compared to the conventional tillage-based system (Aryal et al 2016a, b). Similarly, rice management (direct-seeded rice) can be used to overcome a water crisis, but with high labor costs (Farooq et al 2011).…”

Section: Synergies and Trade-offs Between Adaptation And Mitigation Omentioning

confidence: 99%

“…Direct seeding of rice (DSR) saves water and helps adapt to water-stress conditions (Pathak et al 2013) Reduce methane emission (Pathak et al 2013) Synergy ZT with residue management help adapt rainfall variability (Aryal et al 2016a, b) Increased soil carbon in the soil (Dixon 1995) Synergy ZT help adapt water stress (Grace et al 2003(Grace et al , 2012 Reduced GHG emission (Grace et al 2003(Grace et al , 2012 Synergy Water management Laser land leveling (LLL) helps adapt to water stress especially due to rapidly declining groundwater (Aryal et al 2015a;Jat et al 2015) Reduce emission through reduced use of energy used for irrigation (Aryal et al 2015a;Gill 2014) Synergy Expansion of irrigation helps adapt to rainfall variability (Rothausen and Conway 2011) Expansion of irrigation may increase GHG emission due to increased energy use for irrigation (Rothausen and Conway 2011) Trade-offs Agroforestry Adapt to climate risks such as extreme rainfall, reduce soil erosion, and enhance food security (Sathaye and Ravindranath 1998;Makundi and Sathaye 2004;Feliciano et al 2018) Carbon sequestration the form of biomass above and below ground (Sathaye and Ravindranath 1998;Makundi and Sathaye 2004;Felici...…”

Section: Synergymentioning

confidence: 99%

Climate change mitigation options among farmers in South Asia

Aryal

Rahut

Sapkota

et al. 2019

Environ Dev Sustain

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Agriculture in South Asia is highly vulnerable to climate change due to increasing variability in rainfall and rising temperatures leading to the incidence of extreme climatic events such as floods, droughts, heat/cold waves, and storms. Agriculture sector also contributes to the causes of climate change through the emission of greenhouse gasses (GHGs). Hence, adaptation-led mitigation measures are required to sustain agricultural productivity, farm income and reduce GHG emissions wherever possible. This study presents a systematic review of agriculture emission reduction opportunities with a particular focus on agricultural production systems in South Asia. Our review indicates that the adoption of better soil, water, nutrient management practices, and technologies has enormous potential to reduce GHG emissions from agriculture, thereby contributing to the mitigation of climate change. Many existing practices and technologies have the potential to improve both adaptation and mitigation in agriculture which can significantly contribute to complying with nationally determined contributions (NDCs) of South Asian countries. However, barriers to the adoption of GHG mitigating agricultural practices, mainly the financial and institutional barriers, need to be appropriately addressed to achieve the desired level of mitigation.

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“…Previous studies on tillage practices, a crop management practice, suggest that optimization of tillage practice alters the dynamic and complex soil in physical, chemical and biological properties [9]- [15]. Proponents of conventional tillage (CT) and zero tillage (ZT) agree on the values of one over the other for crop yield variation across locations and cropping systems [16]- [21]. Understanding interactions among genotype, environment and crop management are important in planning key farm decisions including genotype selection, sustainable farm management and economic planning.…”

Section: Introductionmentioning

confidence: 99%

Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India

Jat¹,

Jat²,

Singh³

et al. 2017

AJPS

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The objectives of the study were as follows: 1) to evaluate the GxExM for wheat genotypes; 2) to predict yield performance and identify high stable wheat genotypes in different management practices; and 3) to make genotype-specific management and high performing genotype recommendations within and across agro-ecological regions. A diverse set of twenty-one genotypes was evaluated over three years (2012, 2013 and 2014) under two levels of crop management practices (CT and ZT) across three agro-ecological regions (BR, MP and PB) of India in replicated trials. Data were analyzed with SASGxE and RGxE programs using SAS and R programming languages, respectively. Across and within a location(s), the pattern of GxExM and GxMxY interactions (respectively) among univariate and multivariate stability statistics, grouping of genotypes in divisive clusters and estimates (with a prediction interval) of genotype varied in management practice CT and ZT. Across locations, the genotypes "Munal" and "HD-2967" were the best performers and high stable in CT and ZT, respectively. Genotypes "HD-2824" and "DPW-621-50", and "Munal" may serve as diverse parents for developing high quality, climate smart, locally adapted genotypes for BR in CT and ZT, respectively. Genotypes "HD-2932", "BAZ" and "JW-3288", and "GW-322" and "HD-2967" are suitable for developing locally adapted stress tolerant genotypes for MP in management practices CT and ZT, respectively. Relatively small GxM and GxExM interactions in PB preclude in making definitive conclusions.

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Conservation agriculture-based wheat production better copes with extreme climate events than conventional tillage-based systems: A case of untimely excess rainfall in Haryana, India

Cited by 69 publications

References 11 publications

Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India

Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India

Climate change mitigation options among farmers in South Asia

Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India

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