Evidence map›Paper›PMID 40260431›Full record

ArticleFrontiers in plant science2025

Selection of high nitrogen fixation chickpea genotypes under drought stress conditions using multi-environment analysis.

Tawffiq Istanbuli, Alsamman M Alsamman, Khaled Al-Shamaa, Ahmed Abu Assar, Muhammed Adlan, Tapan Kumar, Sawsan Tawkaz, Aladdin Hamwieh

Abstract read
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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tawffiq IstanbuliDepartment of Biotechnology, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
Alsamman M AlsammanDepartment of Biotechnology, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
Khaled Al-ShamaaDepartment of Genetic Innovation, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
Ahmed Abu AssarDepartment of Oil Crops, Agriculture Research Center (ARC), Wad Madani, Sudan.
Muhammed AdlanDepartment of Oil Crops, Agriculture Research Center (ARC), Wad Madani, Sudan.
Tapan KumarDepartment of Chickpea Plant Breeding, International Center for Agricultural Research in the Dry Areas (ICARDA), Amlaha, India.
Sawsan TawkazDepartment of Biotechnology, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
Aladdin HamwiehDepartment of Biotechnology, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chickpea (* Methods: A total of 204 chickpea genotypes were assessed in eight different environments across Lebanon during the 2016 and 2017 growing seasons, under both rainfed and irrigated conditions. The study employed an Alpha Lattice design with two replications at two distinct locations. Data were collected for yield and nodule characteristics, then subjected to AMMI and GGE biplot analysis. Results and Discussion: The AMMI analysis indicated that genotype (G), environments (E), and genotype × environment interaction (GEI) had significant effects on grain yield (P<0.001), highlighting the presence of genetic variation and the potential for selecting stable genotypes. The findings revealed that the environmental effect predominantly influenced chickpea grain yield, with GEI following, and G having the least impact. Environment explained 34.5% of the total (G + E + GE) variation, whereas G and GEI captured 16.4% and 24.3%, respectively. According to grain yield (GY), genotype IG70399 demonstrated the highest performance across all environments, while genotype IG8256 displayed the most consistent performance across different conditions. In a rainfed environment, genotype IG73394 had higher nodulation, while IG70384 and IG70410 had higher nodulation biomass (NB) under an irrigated environment. The NB for ten highly tolerant genotypes increased by 24% compared to the two susceptible genotypes under drought stress conditions, while the NB for these ten genotypes increased by 14.6% compared to all studied genotypes.

Indexed as

chickpeadrought stressmulti-environment analysisnitrogen fixationselection lines

Identifiers

PMID40260431
PMCPMC12009914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.