Association between physiological and agronomic traits and selection of tropical wheat

Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance usi...
Ausführliche Beschreibung

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Autor*in:	Mezzomo, Henrique Caletti [verfasserIn] Casagrande, Cleiton Renato [verfasserIn] e Silva, Caique Machado [verfasserIn] Borém, Aluízio [verfasserIn] Nardino, Maicon [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Grain yield Mixed models Photosynthetic rate Selection indexes L.

Übergeordnetes Werk:	Enthalten in: Journal of crop science and biotechnology - Seoul : Korean Soc. of Crop Science, 2009, 24(2020), 2 vom: 15. Sept., Seite 167-177
Übergeordnetes Werk:	volume:24 ; year:2020 ; number:2 ; day:15 ; month:09 ; pages:167-177

Links:	Volltext

DOI / URN:	10.1007/s12892-020-00069-y

Katalog-ID:	SPR043187153

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520			\|a Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar.
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allfields	10.1007/s12892-020-00069-y doi (DE-627)SPR043187153 (DE-599)SPRs12892-020-00069-y-e (SPR)s12892-020-00069-y-e DE-627 ger DE-627 rakwb eng 630 640 ASE Mezzomo, Henrique Caletti verfasserin aut Association between physiological and agronomic traits and selection of tropical wheat 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar. Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213 Casagrande, Cleiton Renato verfasserin aut e Silva, Caique Machado verfasserin aut Borém, Aluízio verfasserin aut Nardino, Maicon verfasserin aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 24(2020), 2 vom: 15. Sept., Seite 167-177 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:24 year:2020 number:2 day:15 month:09 pages:167-177 https://dx.doi.org/10.1007/s12892-020-00069-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2020 2 15 09 167-177
spelling	10.1007/s12892-020-00069-y doi (DE-627)SPR043187153 (DE-599)SPRs12892-020-00069-y-e (SPR)s12892-020-00069-y-e DE-627 ger DE-627 rakwb eng 630 640 ASE Mezzomo, Henrique Caletti verfasserin aut Association between physiological and agronomic traits and selection of tropical wheat 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar. Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213 Casagrande, Cleiton Renato verfasserin aut e Silva, Caique Machado verfasserin aut Borém, Aluízio verfasserin aut Nardino, Maicon verfasserin aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 24(2020), 2 vom: 15. Sept., Seite 167-177 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:24 year:2020 number:2 day:15 month:09 pages:167-177 https://dx.doi.org/10.1007/s12892-020-00069-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2020 2 15 09 167-177
allfields_unstemmed	10.1007/s12892-020-00069-y doi (DE-627)SPR043187153 (DE-599)SPRs12892-020-00069-y-e (SPR)s12892-020-00069-y-e DE-627 ger DE-627 rakwb eng 630 640 ASE Mezzomo, Henrique Caletti verfasserin aut Association between physiological and agronomic traits and selection of tropical wheat 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar. Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213 Casagrande, Cleiton Renato verfasserin aut e Silva, Caique Machado verfasserin aut Borém, Aluízio verfasserin aut Nardino, Maicon verfasserin aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 24(2020), 2 vom: 15. Sept., Seite 167-177 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:24 year:2020 number:2 day:15 month:09 pages:167-177 https://dx.doi.org/10.1007/s12892-020-00069-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2020 2 15 09 167-177
allfieldsGer	10.1007/s12892-020-00069-y doi (DE-627)SPR043187153 (DE-599)SPRs12892-020-00069-y-e (SPR)s12892-020-00069-y-e DE-627 ger DE-627 rakwb eng 630 640 ASE Mezzomo, Henrique Caletti verfasserin aut Association between physiological and agronomic traits and selection of tropical wheat 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar. Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213 Casagrande, Cleiton Renato verfasserin aut e Silva, Caique Machado verfasserin aut Borém, Aluízio verfasserin aut Nardino, Maicon verfasserin aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 24(2020), 2 vom: 15. Sept., Seite 167-177 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:24 year:2020 number:2 day:15 month:09 pages:167-177 https://dx.doi.org/10.1007/s12892-020-00069-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2020 2 15 09 167-177
allfieldsSound	10.1007/s12892-020-00069-y doi (DE-627)SPR043187153 (DE-599)SPRs12892-020-00069-y-e (SPR)s12892-020-00069-y-e DE-627 ger DE-627 rakwb eng 630 640 ASE Mezzomo, Henrique Caletti verfasserin aut Association between physiological and agronomic traits and selection of tropical wheat 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar. Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213 Casagrande, Cleiton Renato verfasserin aut e Silva, Caique Machado verfasserin aut Borém, Aluízio verfasserin aut Nardino, Maicon verfasserin aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 24(2020), 2 vom: 15. Sept., Seite 167-177 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:24 year:2020 number:2 day:15 month:09 pages:167-177 https://dx.doi.org/10.1007/s12892-020-00069-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2020 2 15 09 167-177
language	English
source	Enthalten in Journal of crop science and biotechnology 24(2020), 2 vom: 15. Sept., Seite 167-177 volume:24 year:2020 number:2 day:15 month:09 pages:167-177
sourceStr	Enthalten in Journal of crop science and biotechnology 24(2020), 2 vom: 15. Sept., Seite 167-177 volume:24 year:2020 number:2 day:15 month:09 pages:167-177
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Grain yield Mixed models Photosynthetic rate Selection indexes L.
dewey-raw	630
isfreeaccess_bool	false
container_title	Journal of crop science and biotechnology
authorswithroles_txt_mv	Mezzomo, Henrique Caletti @@aut@@ Casagrande, Cleiton Renato @@aut@@ e Silva, Caique Machado @@aut@@ Borém, Aluízio @@aut@@ Nardino, Maicon @@aut@@
publishDateDaySort_date	2020-09-15T00:00:00Z
hierarchy_top_id	617512175
dewey-sort	3630
id	SPR043187153
language_de	englisch
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author	Mezzomo, Henrique Caletti
spellingShingle	Mezzomo, Henrique Caletti ddc 630 misc Grain yield misc Mixed models misc Photosynthetic rate misc Selection indexes misc L. Association between physiological and agronomic traits and selection of tropical wheat
authorStr	Mezzomo, Henrique Caletti
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topic_title	630 640 ASE Association between physiological and agronomic traits and selection of tropical wheat Grain yield (dpeaa)DE-He213 Mixed models (dpeaa)DE-He213 Photosynthetic rate (dpeaa)DE-He213 Selection indexes (dpeaa)DE-He213 L. (dpeaa)DE-He213
topic	ddc 630 misc Grain yield misc Mixed models misc Photosynthetic rate misc Selection indexes misc L.
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title	Association between physiological and agronomic traits and selection of tropical wheat
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title_full	Association between physiological and agronomic traits and selection of tropical wheat
author_sort	Mezzomo, Henrique Caletti
journal	Journal of crop science and biotechnology
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author_browse	Mezzomo, Henrique Caletti Casagrande, Cleiton Renato e Silva, Caique Machado Borém, Aluízio Nardino, Maicon
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title_sort	association between physiological and agronomic traits and selection of tropical wheat
title_auth	Association between physiological and agronomic traits and selection of tropical wheat
abstract	Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar.
abstractGer	Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar.
abstract_unstemmed	Abstract The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar.
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title_short	Association between physiological and agronomic traits and selection of tropical wheat
url	https://dx.doi.org/10.1007/s12892-020-00069-y
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author2	Casagrande, Cleiton Renato e Silva, Caique Machado Borém, Aluízio Nardino, Maicon
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doi_str	10.1007/s12892-020-00069-y
up_date	2024-07-03T17:06:28.319Z
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For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coefficients, canonical correlation coefficients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to $ H_{2} $O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular $ CO_{2} $ concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular $ CO_{2} $ concentration was directly related to disease note and hectoliter weight. 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Association between physiological and agronomic traits and selection of tropical wheat

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