ABSTRACT
The objective of this work was to describe morphology and grouping of Paspalum notatum accessions, based on multicategorical data which discards the redundant variables for quantification of genetic diversity. We also tested the hypothesis that geographical distance was correlated with morphological divergence. In our study, multivariate analyzes successfully demonstrated the geographic and morphological variability of the P. notatum accessions characterized. Many of these evaluated accessions can be included in future genetic improvement programs. Based on two methodologies for discarding variables, it was possible to identify the potentially important morphological characteristics from genetic diversity studies and characterize new accessions aimed at improving forage and seed production. The methodologies used to discard variables are biometric tools that can be used successfully in future plant breeding programs, especially when a large number of traits and accessions are being evaluated. Although significant, geographic distance had a low association with morphological traits. This indicated the need to use other characteristics, such as forage and seed yield, in addition to molecular analysis. Our analyzes showed genetic variability in P. notatum for all the characteristics studied.
cluster analysis; hierarchical method; optimization method; Tocher
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Accessions number, collector, and site: (1; V 14244 A; Uruguaiana, RS); (2; V 14244 E; Uruguaiana, RS); (3; V 14244 H; Uruguaiana, RS); (4; V 14310; Barra do Quaraí, RS); (5; V 14326; Capivari do Sul, RS); (6; V 14327; Capivari do Sul, RS); (7; V 14614; Itaquiraí, MS); (8; V 14783; Vale do Sol, RS); (9; V 14287; Candói, PR); (10; V 14282; Candói, PR); (11; V 14865; Capivari do Sul, RS); (12; V 14869; Capivari do Sul, RS); (3; V 14870; Capivari do Sul, RS); (14; MD nn; Encruzilhada do Sul, RS); (15; MD nn; Encruzilhada do Sul, RS); (16; MD nn; Lavras do Sul, RS); (17; MD nn; Caçapava do Sul, RS); (18; MD nn; Lavras do Sul, RS); (19; MD nn; Caçapava do Sul, RS); (20; MD nn; Lavras do Sul, RS); (21; MD nn; Bagé, RS); (22; MD nn; André da Rocha, RS); (23; MD nn; Vacaria, RS); (24; MD nn; São Borja, RS); (25; CN nn; Santo Tomé, AR); (26; CN nn; Santo Tomé, AR); (27; CN nn; Santo Tomé, AR); (28; CN nn; Santo Tomé, AR); (29; CN nn; Santo Tomé, AR); (30; CN nn; Santo Tomé, AR); (31; CN nn; Santo Tomé, AR); (32; CN nn; Santo Tomé, AR); (33; CN nn; Santo Tomé, AR); (34; CN nn; Santo Tomé, AR); (35; MD nn; Mostardas, RS); (36; CN nn; Piracicaba, SP); (37; AM nn; Posadas, AR); (38; St nn; Santiago, RS); (39; V 14931; Alegrete, RS); (40; MD nn; Colônia, UY); (41; MD nn; Colônia, UY).
Cophenetic correlation index: 0.85.
Cophenetic correlation index: 0.68.
SW - sheath width; NR - number of racemes; NN - number of nodes; LL - leaf blade length; LIA - leaf blade insertion angle; RL - raceme length; IL - internode length; SPL - spikelet length; LW - leaf blade width; SL - sheath length; RA - raceme angle; SH - sheath hairiness; LH - leaf blade hairiness; LCVC - leaf blade central vein color; PH - plant habit.