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Refinado por: assunto: Análise Espectral remover
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1
Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data
Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data
Material Type:
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Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data

Rafael Massahiro Yassue Giovanni Galli; Roberto Fritsche‐Neto; Gota Morota

Crop Science Oxford p. 1-13, August 2022

Oxford 2022

Item não circula. Consulte sua biblioteca.(Acessar)

2
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation
Material Type:
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Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation

Rafael Massahiro Yassue Giovanni Galli; James Chen Chun-Peng; Roberto Fritsche-Neto; Gota Morota

Plant Direct Oxford v. 7, art. e492, p. 1-12, 2023

Oxford 2023

Item não circula. Consulte sua biblioteca.(Acessar)

3
Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum
Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum
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Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum

Giovanni Galli David W Horne; S. Delroy Collins; Jinha Jung; Anjin Chang; Roberto Fritsche‐Neto; William L Rooney

The Plant Phenome Journal v. 3, art. e20010, p. 1-14, 2020

Oxford 2020

Item não circula. Consulte sua biblioteca.(Acessar)

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Deste Autor:

  1. Galli, G
  2. Morota, G
  3. Yassue, R
  4. Fritsche-Neto
  5. Chang, A

Neste Assunto:

  1. Genômica
  2. Estimulantes De Crescimento Vegetal
  3. Fenótipos
  4. Bactérias
  5. Milho

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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