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Abstract <p>The research was performed with the purpose of identifying vegetation indices, which could be used to determine the adaptive properties of spring durum wheat genotypes. The work was carried out in 2023–2024 in the conditions of the West Siberian forest-steppe. The material for research were three varieties included in the State Register of Breeding Achievements and 14 promising lines created in the Omsk Agrarian Research Center. Experiments were carried out in two settings (extensive farming and intensive farming with fertilizer application and irrigation). Vegetation indices (38 indices) were measured using the CI-710 device. Indices were read for ten flag leaves of each variety in the phase of full heading in five replicates. The following indices were calculated for the studied genotypes: grain yield adaptivity indices <i>b</i><sub><i>i</i></sub> (plasticity index) and <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\sigma _{{\text{d}}}^{2}\)</EquationSource> <!--AgrSci2570080Yusov-m1--> </InlineEquation> (stability index) according to S.A. Eberhart and W.A. Russel, genotype phenotypic stability index (ASV) and interaction stability index (YSI) according to Mondo et al. (2019) [15]. Pearson correlation coefficients and AMMI (additive main effect and multiplicative interaction) analysis according to Zobel et al. (1988) [13] allowed for identifying relationships between the ecological adaptability indices and a number of vegetation indices. The following vegetation indices may be preferred to assess the adaptive properties of spring durum wheat genotypes in the case of extensive farming: TCARI—transformed index; RENDVI—red edge, normalized difference vegetation index; NPQI—normalized phaeophytinization index; NDVI—normalized difference vegetation index; MDATT—modified DAAT index; IAD—absorption difference index; CRI2—carotenoid reflectance index 2; CRI1—carotenoid reflectance index 1; CPHLT—total chlorophyll content; and ARI1—anthocyanin reflectance index. VREI1—Vogelmann red edge index 1; SRPI—simple ratio of pigment index; PSRI—plant senescence reflectance index; MRESRI—modified red edge simple ratio index; MCARI1—modified chlorophyll absorption ratio index 1; and Ctr2—Carter index 2 are informative in the case of intensive farming.</p>

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Use of Vegetation Indices to Assess the Adaptivity of Spring Durum Wheat Genotypes

  • 期刊论文

  • 发表日期：

    2025年4月1日

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  • V. S. Yusov,
  • M. G. Evdokimov,
  • O. A. Yusova,
  • D. A. Glushakov

摘要

Abstract

The research was performed with the purpose of identifying vegetation indices, which could be used to determine the adaptive properties of spring durum wheat genotypes. The work was carried out in 2023–2024 in the conditions of the West Siberian forest-steppe. The material for research were three varieties included in the State Register of Breeding Achievements and 14 promising lines created in the Omsk Agrarian Research Center. Experiments were carried out in two settings (extensive farming and intensive farming with fertilizer application and irrigation). Vegetation indices (38 indices) were measured using the CI-710 device. Indices were read for ten flag leaves of each variety in the phase of full heading in five replicates. The following indices were calculated for the studied genotypes: grain yield adaptivity indices bi (plasticity index) and \(\sigma _{{\text{d}}}^{2}\) (stability index) according to S.A. Eberhart and W.A. Russel, genotype phenotypic stability index (ASV) and interaction stability index (YSI) according to Mondo et al. (2019) [15]. Pearson correlation coefficients and AMMI (additive main effect and multiplicative interaction) analysis according to Zobel et al. (1988) [13] allowed for identifying relationships between the ecological adaptability indices and a number of vegetation indices. The following vegetation indices may be preferred to assess the adaptive properties of spring durum wheat genotypes in the case of extensive farming: TCARI—transformed index; RENDVI—red edge, normalized difference vegetation index; NPQI—normalized phaeophytinization index; NDVI—normalized difference vegetation index; MDATT—modified DAAT index; IAD—absorption difference index; CRI2—carotenoid reflectance index 2; CRI1—carotenoid reflectance index 1; CPHLT—total chlorophyll content; and ARI1—anthocyanin reflectance index. VREI1—Vogelmann red edge index 1; SRPI—simple ratio of pigment index; PSRI—plant senescence reflectance index; MRESRI—modified red edge simple ratio index; MCARI1—modified chlorophyll absorption ratio index 1; and Ctr2—Carter index 2 are informative in the case of intensive farming.