Organic management and local genotypes for elevating yield and seed quality to confront climate change challenges

IF 4.5 1区 农林科学 Q1 AGRONOMY European Journal of Agronomy Pub Date : 2025-03-18 DOI:10.1016/j.eja.2025.127613
Arantza del-Canto , Nuria De Diego , Álvaro Sanz-Sáez , Nikola Štefelová , Usue Pérez-López , Amaia Mena-Petite , Maite Lacuesta
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Abstract

Drought, exacerbated by climate change, is a challenge in agricultural production, especially in connection with nutrient-rich legumes like common beans, essential for sustainable food security. Selecting drought-adapted genotypes across various agricultural managements is a viable strategy to mitigate the impact of drought. This study aimed to evaluate different common bean genotypes, locally adapted and commercial ones, under different environmental factors, management practices, and water regimes to understand how the various growth conditions impact their performance and seed biochemical composition. We conducted a pioneering three-year field experiment with twelve genotypes grown under irrigated and rainfed conditions within conventional and organic farming systems. Physiological responses, seed yield, and quality parameters were evaluated and correlated to identify possible biomarkers that can be used for identifying resilient genotypes. The research found that drought and farming practices significantly affect bean yield and quality, with extreme temperatures being a key factor. Organic farming was as productive as conventional under irrigation and improved seed quality in rainfed conditions. The landrace Arrocina de Álava stood out for its tolerance and high-quality seeds under rainfed conditions, underlining the importance of locally adapted genotypes for climate resilience. The study confirmed the seed carbon isotope discrimination (Δ13C) as a reliable marker for selecting stress-tolerant genotypes and highlighted the impact of extreme temperatures on seed fat and energy content. It underscores the need for climate-adapted agriculture, highlighting organic farming as a sustainable method and the importance of incorporating climate resilience in crop breeding and management.
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因气候变化而加剧的干旱是农业生产中的一项挑战,尤其是对营养丰富的豆科植物(如普通豆类)而言,它们对可持续粮食安全至关重要。在各种农业管理中选择适应干旱的基因型是减轻干旱影响的可行策略。本研究旨在评估不同环境因素、管理方法和水制度下的不同普通豆类基因型,包括适应当地情况的基因型和商业基因型,以了解各种生长条件如何影响它们的表现和种子的生化成分。我们进行了一项为期三年的开创性田间试验,在常规和有机耕作系统中的灌溉和雨养条件下种植了 12 个基因型。对生理反应、种子产量和质量参数进行了评估和关联,以确定可能的生物标志物,用于识别抗逆性强的基因型。研究发现,干旱和耕作方式对豆类的产量和质量有很大影响,其中极端温度是一个关键因素。在灌溉条件下,有机耕作与传统耕作的产量相同,在雨水灌溉条件下,有机耕作提高了种子质量。土地品种 Arrocina de Álava 在雨水灌溉条件下的耐受性和高质量种子方面表现突出,强调了适应当地气候的基因型对气候适应能力的重要性。研究证实,种子碳同位素鉴别(Δ13C)是筛选抗逆基因型的可靠标记,并强调了极端温度对种子脂肪和能量含量的影响。该研究强调了气候适应性农业的必要性,突出了有机耕作作为一种可持续方法以及将气候适应性纳入作物育种和管理的重要性。
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来源期刊
European Journal of Agronomy
European Journal of Agronomy 农林科学-农艺学
CiteScore
8.30
自引率
7.70%
发文量
187
审稿时长
4.5 months
期刊介绍: The European Journal of Agronomy, the official journal of the European Society for Agronomy, publishes original research papers reporting experimental and theoretical contributions to field-based agronomy and crop science. The journal will consider research at the field level for agricultural, horticultural and tree crops, that uses comprehensive and explanatory approaches. The EJA covers the following topics: crop physiology crop production and management including irrigation, fertilization and soil management agroclimatology and modelling plant-soil relationships crop quality and post-harvest physiology farming and cropping systems agroecosystems and the environment crop-weed interactions and management organic farming horticultural crops papers from the European Society for Agronomy bi-annual meetings In determining the suitability of submitted articles for publication, particular scrutiny is placed on the degree of novelty and significance of the research and the extent to which it adds to existing knowledge in agronomy.
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Improving the transferability of potato nitrogen concentration estimation models based on hybrid feature selection and Gaussian process regression Organic management and local genotypes for elevating yield and seed quality to confront climate change challenges Integrating machine learning with agroecosystem modelling: Current state and future challenges LVR: A language and vision fusion method for rice diseases segmentation under complex environment Combined application of nitrogen and phosphorus fertilizers increases soil organic carbon storage in cropland soils
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