ISSN: 2329-8863

Avanços na ciência e tecnologia agrícola

Acesso livre

Nosso grupo organiza mais de 3.000 Séries de conferências Eventos todos os anos nos EUA, Europa e outros países. Ásia com o apoio de mais 1.000 Sociedades e publica mais de 700 Acesso aberto Periódicos que contém mais de 50.000 personalidades eminentes, cientistas de renome como membros do conselho editorial.

Periódicos de acesso aberto ganhando mais leitores e citações
700 periódicos e 15 milhões de leitores Cada periódico está obtendo mais de 25.000 leitores

Indexado em
  • Índice de Fonte CAS (CASSI)
  • Índice Copérnico
  • Google Scholar
  • Sherpa Romeu
  • Acesso Online à Pesquisa no Meio Ambiente (OARE)
  • Abra o portão J
  • Chaves Acadêmicas
  • JornalTOCs
  • Acesso à Pesquisa Online Global em Agricultura (AGORA)
  • RefSeek
  • Universidade Hamdard
  • EBSCO AZ
  • OCLC – WorldCat
  • Acadêmico
  • Catálogo online SWB
  • Publons
  • Euro Pub
Compartilhe esta página

Abstrato

Studies on Genetic Diversity in Upland Rice (Oryza sativa L.) Genotypes Evaluated at Gojeb and Guraferda, Southwest Ethiopia

Awel Beshir, Sentayehu Alamerew, Wosene Gebreselassie

The study was conducted using thirty six upland rice genotypes during the 2017 main rainy season at two experimental sites of Bonga agricultural research center; southwestern Ethiopia to classify and identify groups of similar genotypes and thereby estimate the genetic difference between clusters of the genotypes, the experiment was laid down in 6 × 6 simple lattice design. The combined analysis of variance over the two locations revealed that the genotypes showed highly significant (P ≤ 0.01) differences for all the characters studied, except for days to 50% heading, panicle weight, thousand seed weight, lodging incidences, leaf blast and brown spot. Similarly genotype × location interactions revealed highly significant (P ≤ 0.01) differences for panicle shattering and grain yield and significant (P ≤ 0.05) differences for days to 85% maturity, plant height, number of fertile tillers per plant, number of unfilled spikelets per panicle and biomass yield. The squared distance (D2) analysis grouped the 36 genotypes in to four clusters. This makes the genotypes become moderately divergent. The chi-square (x2) test showed that all inter-cluster squared distances was highly significant. The principal component analysis revealed that four principal components have accounted for 70.54% of the total variation.