Rank-based data synthesis of heterogeneous trials to identify the effects of climatic factors on the reaction of Musa genotypes to black leaf streak disease

Brown David, de Bruin Sytze, De Sousa Kauê, Abadie Catherine, Carpentier Sébastien Christian, Machida Lewis, Van Etten Jacob. 2023. Rank-based data synthesis of heterogeneous trials to identify the effects of climatic factors on the reaction of Musa genotypes to black leaf streak disease. Agronomy Journal, 115 (6) : 2990-3009.

Url - autres données associées : https://github.com/AgrDataSci/Data_Synthesis_Musa_Trials_BLSD

Résumé : Synthesis of crop trial data can generate insights that are not available from the analysis of individual studies, but such synthesis is often constrained by the heterogeneity of data among studies. Rank-based data synthesis provides the flexibility to combine data of heterogeneous types and from different sources. We demonstrate the application of rank-based data synthesis of heterogeneous trial data to assess the effect of climatic factors on the reaction of several Musa genotypes to black leaf streak disease (BLSD; caused by Pseudocercospora fijiensis [sexual morph: Mycosphaerella fijiensis]). We aggregated data from the main public repositories of Musa trial data. We applied model-based recursive partitioning with the Plackett–Luce model, using climatic data as covariates. The model identified the maximum length of the dry spell as the main variable influencing differences in genotypic response to BLSD, dividing the aggregated trial dataset into humid and dry environments. We found differences in the reaction of genotypes to BLSD between these environments. In humid environments, NARITA 8 was found to be the most resistant genotype, while in dry environments FHIA-01 was the best performing improved genotype. We also assessed reliability, which is the probability of outperforming the reference genotype (Calcutta 4). In humid environments, NARITA 2, NARITA 8, and FHIA-01 had the highest reliability, while in dry environments only the landrace Saba surpassed 50% reliability. The information generated by our data synthesis approach supports selecting Musa genotypes for further evaluations at new locations.

Mots-clés Agrovoc : Mycosphaerella fijiensis, Musa, maladie des raies noires, génotype, facteur climatique, maladie des plantes, résistance aux maladies, méthodologie, analyse de données, Musa (bananes), Pseudocercospora, essai de variété, amélioration des plantes

Mots-clés libres : Phenotyping, Musa, Heterogeneous data

Classification Agris : H20 - Maladies des plantes
F30 - Génétique et amélioration des plantes
P40 - Météorologie et climatologie

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement hors UE : Consortium of International Agricultural Research Centers

Auteurs et affiliations

• Brown David, Bioversity International (CRI) - auteur correspondant
• de Bruin Sytze, Wageningen University (NLD)
• De Sousa Kauê, Bioversity International (FRA)
• Abadie Catherine, CIRAD-BIOS-UMR PHIM (FRA)
• Carpentier Sébastien Christian, Bioversity International (BEL)
• Machida Lewis, Bioversity International (UGA)
• Van Etten Jacob, Bioversity International (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/605839/)

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