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Applied Statistics Methods for Agriculture Studies

Applied Statistics Methods for Agriculture Studiesvon Luiz Gustavo Batista Ferreira Sie sparen 21% des UVP sparen 21%
Über Applied Statistics Methods for Agriculture Studies

Crop breeding can be characterized as the art and science of developing plants with higher productivity, added to other agronomic characteristics of interest (resistance to biotic and abiotic stresses), and which reflects a reduction in investments with agricultural inputs. For the characterization and evaluation of the accessions, in April 2010, 209 accessions of the AWGB -IAPAR and 16 cultivars in a simple lattice design (15x15) were sown in the experimental area of IAPAR in Londrina, and data from 16 morphological and agronomic characteristics were taken. For all characteristics, analysis of variance, grouping of averages, analysis of simple linear correlation and analysis of genetic diversity with subsequent grouping by the UPGMA and Tocher methods were performed. It was found that the average efficiency ofthe lattice was 1.21 % with IC5 %: [99.31 ~ 103.11 %], representing little efficiency in relation tothe randomized block design.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783330650084
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 60
  • Veröffentlicht:
  • 6 April 2022
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 107 g.
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Beschreibung von Applied Statistics Methods for Agriculture Studies

Crop breeding can be characterized as the art and science of developing plants with higher productivity, added to other agronomic characteristics of interest (resistance to biotic and abiotic stresses), and which reflects a reduction in investments with agricultural inputs. For the characterization and evaluation of the accessions, in April 2010, 209 accessions of the AWGB -IAPAR and 16 cultivars in a simple lattice design (15x15) were sown in the experimental area of IAPAR in Londrina, and data from 16 morphological and agronomic characteristics were taken. For all characteristics, analysis of variance, grouping of averages, analysis of simple linear correlation and analysis of genetic diversity with subsequent grouping by the UPGMA and Tocher methods were performed. It was found that the average efficiency ofthe lattice was 1.21 % with IC5 %: [99.31 ~ 103.11 %], representing little efficiency in relation tothe randomized block design.

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