Theme 23: Biodiversity

Description

In a survey, through principal component analyses, for the most representative descriptors to be used in Paspalum germplasm characterization, 16 agronomic traits, 16 reproductive traits and 21 vegetative traits were evaluated in 32 accessions comprising Paspalum plicatulum (19) and Paspalum compressifolium (13) from the institutional germplasm collection. ANOVA for agronomic descriptors showed significant differences among accessions, except for percentage of dry matter in winter (DMW) which was not significant. Principal component analyses allowed reduction of 69%, 69% and 62%, respectively, in the initial number of descriptors, and the election of the most important for agronomic traits: DMYS, DMYW, RGS, CPPW and NDFW (dry matter yield in summer, dry matter yield in winter, regrowth score in summer, crude protein percentage in winter and neutral detergent fiber in winter, respectively); reproductive descriptors: NSG, PE, PFA, PS and LE (number of seeds per gram, pubescence of the escape, pubescence of the floral axis, pubescence of the spikelet and length of the escape, respectively); and vegetative descriptors: PLDI, PLL, PSDE, PINDE, LL, LWH, SWB, SWT (pubescence of leaf – distribution, pubescence of leaf – length, pubescence of sheath – density, pubescence of internode – density, leaf length, leaf width – half, sheath width – base and sheath width – top, respectively).

Share

COinS
 

Principal Component Analysis in Paspalum Germplasm Characterization

In a survey, through principal component analyses, for the most representative descriptors to be used in Paspalum germplasm characterization, 16 agronomic traits, 16 reproductive traits and 21 vegetative traits were evaluated in 32 accessions comprising Paspalum plicatulum (19) and Paspalum compressifolium (13) from the institutional germplasm collection. ANOVA for agronomic descriptors showed significant differences among accessions, except for percentage of dry matter in winter (DMW) which was not significant. Principal component analyses allowed reduction of 69%, 69% and 62%, respectively, in the initial number of descriptors, and the election of the most important for agronomic traits: DMYS, DMYW, RGS, CPPW and NDFW (dry matter yield in summer, dry matter yield in winter, regrowth score in summer, crude protein percentage in winter and neutral detergent fiber in winter, respectively); reproductive descriptors: NSG, PE, PFA, PS and LE (number of seeds per gram, pubescence of the escape, pubescence of the floral axis, pubescence of the spikelet and length of the escape, respectively); and vegetative descriptors: PLDI, PLL, PSDE, PINDE, LL, LWH, SWB, SWT (pubescence of leaf – distribution, pubescence of leaf – length, pubescence of sheath – density, pubescence of internode – density, leaf length, leaf width – half, sheath width – base and sheath width – top, respectively).