Guar (Cyamopsis tetragonoloba (L.) Taub.) is a valuable industrial crop, widely cultivated in India and Pakistan for the high galactomannan content of its endosperm. The present multi-trait characterization of 68 guar genotypes was conducted to identify an ideotype combining desirable traits suitable for cultivation in a Mediterranean climate and that allows an easy harvest. Plant height, branch number, stem diameter, length of crop cycle, number of cluster, number of pods per plant, number of seeds per pod, 1000 seeds weight, seed production per plant, galactomannan and protein content were measured. In addition, correlations between morphological and productive traits were applied, calculating the relationships between traits, and giving biological meaning to the ideotype. To select high performance genotypes under Mediterranean climate, we mainly took into consideration non-branching (easy harvestability, uniformity of maturation) and short crop cycle genotypes with valuable productive and qualitative traits. From this viewpoint, the results showed that 17 genotypes resulted nonbranching, 11 genotypes showed a short crop cycle and seven genotypes were characterized by a seed production greater than 50 g plant-1. Four of the 17 genotypes (PI 288757, PI 340263, NC70300525and PI 288745) possess all these desirable traits along with good seed production and therefore should be selected as multi-trait high performance genotypes. As far as the galactomannan and protein contents are concerned, a lower coefficient of variation emerged when compared to those of the morphological or productive traits. Correlation analysis showed that plant production was related to cluster number, number of pods per plant, seeds per pod, number of branches and length of crop cycle. Finally, an interesting negative association between galactomannan and protein content was found.

Morphological, biological, productive and qualitative characterization of 68 guar (Cyamopsis tetragonoloba (L.) Taub.) genotypes

Avola G;
2018

Abstract

Guar (Cyamopsis tetragonoloba (L.) Taub.) is a valuable industrial crop, widely cultivated in India and Pakistan for the high galactomannan content of its endosperm. The present multi-trait characterization of 68 guar genotypes was conducted to identify an ideotype combining desirable traits suitable for cultivation in a Mediterranean climate and that allows an easy harvest. Plant height, branch number, stem diameter, length of crop cycle, number of cluster, number of pods per plant, number of seeds per pod, 1000 seeds weight, seed production per plant, galactomannan and protein content were measured. In addition, correlations between morphological and productive traits were applied, calculating the relationships between traits, and giving biological meaning to the ideotype. To select high performance genotypes under Mediterranean climate, we mainly took into consideration non-branching (easy harvestability, uniformity of maturation) and short crop cycle genotypes with valuable productive and qualitative traits. From this viewpoint, the results showed that 17 genotypes resulted nonbranching, 11 genotypes showed a short crop cycle and seven genotypes were characterized by a seed production greater than 50 g plant-1. Four of the 17 genotypes (PI 288757, PI 340263, NC70300525and PI 288745) possess all these desirable traits along with good seed production and therefore should be selected as multi-trait high performance genotypes. As far as the galactomannan and protein contents are concerned, a lower coefficient of variation emerged when compared to those of the morphological or productive traits. Correlation analysis showed that plant production was related to cluster number, number of pods per plant, seeds per pod, number of branches and length of crop cycle. Finally, an interesting negative association between galactomannan and protein content was found.
2018
Istituto per la Valorizzazione del Legno e delle Specie Arboree - IVALSA - Sede Sesto Fiorentino
Guar
Characterization
Genotypes
Productive and qualitative traits
Correlations
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/346678
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