@article{fdi:010092618,
  title = {{I}dentifying phenotypic markers explaining positive sorghum response to sowing density using 3{D}-imaging},
  author = {{X}ue, {W}enli and {K}issel, {E}. and {T}óth, {A}. and {P}illoni, {R}. and {V}adez, {V}incent},
  editor = {},
  language = {{ENG}},
  abstract = {{S}orghum genotypes vary in their response to higher sowing density, but the traits explaining these variations are unknown. {I}n the present study, a 3{D}-imaging based approach identified the phenotypic traits responsible for the genetic variation in sorghum's response to high sowing density. {T}wenty sorghum genotypes, some varying in their response to density, were grown and 3{D}-images were collected weekly between weeks 4-6. {F}rom these images, 80 phenotypic traits, including 33 architectural and 47 multispectral, were extracted. {T}he within- genotype means of these 80 traits, and two indicators of the sowing density response ({B}iomass ratio ({B}r) and {T}ranspiration ratio ({T}r)), measured in a previous study with 13 common genotypes, were used in a {S}pearman correlation analysis. {S}eventeen and four traits were strongly correlated with {B}r and {T}r, respectively. {T}he majority of these traits, predominantly architectural, strongly suggest that, under high sowing density, a fuller light interception, having more leaf area in the lower canopy, lead to a larger {B}r, while more vertically aligned leaves favour larger {T}r values, which related to higher water use efficiency in another study. {F}urthermore, a {P}rincipal {C}omponent {A}nalysis ({PCA}) indicated traits contributing to better photosynthesis could be used to estimate {B}r. {S}imilarly, a combination of traits relating to leaf angle were good indicators of the genetic variation in {T}r values. {T}hese results provide insights about the strategies some sorghum genotypes have developed to thrive under higher sowing density and that could be used as biomarkers for the breeding of density-resistant cultivars.},
  keywords = {3d-imaging assisted phenotyping ; {L}ight penetration ; {P}hotosynthesis ; {S}owing density ; {S}pearman correlation ; {P}rincipal component analysis ; {ANOVA} ; {PAYS} {EN} {DEVELOPPEMENT}},
  booktitle = {},
  journal = {{S}mart {A}gricultural {T}echnology},
  volume = {10},
  numero = {},
  pages = {100756 [10 p.]},
  ISSN = {2772-3755},
  year = {2025},
  DOI = {10.1016/j.atech.2024.100756},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092618},
}