Biological nitrogen fixation and biomass production stability in alfalfa (<i>Medicago sativa</i>L.) genotypes under organic management conditions

Spatial differences in environmental selective pressures interact with the genomes of organisms, ultimately leading to local adaptation. Landscape genomics is an emergent research area that uncovers genome-environment associations, thus allowing researchers to identify candidate loci for adaptation to specific environmental variables. In the present study, we used latent factor mixed models (LFMMs) and Moran spectral outlier detection/randomization (MSOD-MSR) to identify candidate loci for adaptation to 10 environmental variables (climatic, soil and atmospheric) among 43 515 single nucleotide polymorphisms (SNPs) from 202 accessions of the model legume Medicago truncatula. Soil variables were associated with a large number of candidate loci identified through both LFMMs and MSOD-MSR. Genes tagged by candidate loci associated with drought and salinity are involved in the response to biotic and abiotic stresses, while those tagged by candidates associated with soil nitrogen and atmospheric nitrogen, participate in the legume-rhizobia symbiosis. Candidate SNPs identified through both LFMMs and MSOD-MSR explained up to 56% of variance in flowering traits. Our findings highlight the importance of soil in driving adaptation in the system and elucidate the basis of evolutionary potential of M. truncatula to respond to global climate change and anthropogenic disruption of the nitrogen cycle.

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“…Subsequently, the findings should be validated through experimentation (e.g. Delić et al ., ; Moghaddam et al ., ).…”

Section: Discussionmentioning

confidence: 97%

Soil environment is a key driver of adaptation in Medicago truncatula: new insights from landscape genomics

et al. 2018

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“…However, in the present study, the contribution of G × E was two times higher than the genotype effect alone, which highlights the importance of G × E evaluation. Moghaddam et al () observed close genotype and G × E effect (11.5% vs. 9.0% respectively) but they also included Iranian cultivars, which provided generally lower yield than European cultivars in the tested environments. In the study of Moghaddam et al (), annual DMY varied from 10.1 (rainfed) to 15.9 t/ha (irrigated) in Pannonian region of eastern Austria.…”

Section: Discussionmentioning

confidence: 96%

“…For instance, Lammerts van Bueren, Struik, and Jacobsen () showed more variable environmental components in organic than conventional agriculture and they highlighted the need for stability of productivity rather than yield alone. For these reasons, the assessment of yield stability of lucerne is recommended as a tool for breeding superior cultivars for specific target environments (Budak & Kizil‐Aydemir, ; Moghaddam et al, ; Riday & Brummer, ).…”

Section: Introductionmentioning

confidence: 99%

“…Among univariate methods, superiority measure represents genotypes with both high stability and relatively high performance (Lin & Binns, ), in contrast to the AMMI model which highlights only the stability aspect. This parameter has been found to be the best stability parameter for selecting high‐yielding and stable genotypes of lucerne (Georgieva, Kosev, & Mitev, ; Moghaddam et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of lucerne yield stability for enabling effective cultivar selection under rainfed conditions

Hakl

Mofidian

Kozová

et al. 2019

Grass and Forage Science

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Evaluation of crop and forage yield stability is of increasing relevance in the context of current and recent environmental changes but, in contrast to other field crops, there are no published systematic analyses among forage crops in Europe. A study of stability performance was conducted with 13 Czech cultivars of lucerne at four locations over a 2-year period with the following aims: (a) to evaluate yield stability

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“…En Valles Altos del Centro de México, se han obtenido variedades de alfalfa adaptadas a partir de germoplasma de origen peruano y africano, al considerar como criterios de selección de estas variedades, la persistencia de las plantas, resistencia a plagas y enfermedades, grado de latencia invernal y producción anual (6) . Por lo tanto, evaluar la persistencia de los cultivares, la producción de biomasa estacional y los componentes del rendimiento en poblaciones de alfalfa bajo diversas condiciones ambientales, es una herramienta importante para los fitomejoradores en la selección de cultivares superiores para usos y ambientes específicos (7) .…”

Section: Introductionunclassified

Performance of dry matter yield and its components in germoplasm of alfalfa (Medicago sativa L.)

Guerrero

Castañeda

Garay

et al. 2018

Rev. Mex. Cienc. Pecu.

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Se evaluó el comportamiento productivo en 100 familias de medios hermanos (FMH) derivadas de las variedades San Miguel y Oaxaca, y las poblaciones San Miguel x Oaxaca y Oaxaca x San Miguel, en macetas a la intemperie en Montecillo, Texcoco, Estado de México. Se realizaron cortes cada cinco semanas en otoño-invierno 2013-2014 y cada cuatro semanas en primavera 2014. Las FMH derivadas de San Miguel x Oaxaca y Oaxaca x San Miguel tuvieron en promedio 10 % mayor rendimiento de materia seca (RMS), tasa absoluta de crecimiento (TAC) y relación hoja:tallo (H:T) por planta, que las FMH derivadas de San Miguel y Oaxaca, en cada corte y estación del año. Las FMH derivadas de San Miguel presentaron mayor número de tallos (NT) en invierno y primavera, y menor altura de planta (AP) en primavera que las de Oaxaca y las FMH derivadas de San Miguel x Oaxaca y Oaxaca Revista Mexicana de x San Miguel. El RMS y TAC en primavera fueron 57 y 33 % más altos que en otoño e invierno. La relación H:T en otoño fue 5 % mayor que en invierno y 30 % mayor que en primavera; el mayor NT y AP se presentaron en primavera. La eficiencia en el uso de la radiación (EUR) fue mayor en primavera que en otoño e invierno con los valores más altos en abril. La variabilidad entre las FMH derivadas de San Miguel x Oaxaca y Oaxaca x San Miguel, indica la posibilidad de seleccionar familias superiores en rendimiento de materia seca.

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Biological nitrogen fixation and biomass production stability in alfalfa (Medicago sativaL.) genotypes under organic management conditions

Cited by 8 publications

References 33 publications

Soil environment is a key driver of adaptation in Medicago truncatula: new insights from landscape genomics

Soil environment is a key driver of adaptation in Medicago truncatula: new insights from landscape genomics

Estimation of lucerne yield stability for enabling effective cultivar selection under rainfed conditions

Performance of dry matter yield and its components in germoplasm of alfalfa (Medicago sativa L.)

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