Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm

Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Insti...
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Autor*in:	Vaezi, H. [verfasserIn] Mohammadi-Nejad, G. [verfasserIn] Majidi-Heravan, E. [verfasserIn] Nakhoda, B. [verfasserIn] Darvish-Kajouri, F. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Foxtail millet Proso millet Stress-tolerance/sensitive indices Water stress

Übergeordnetes Werk:	Enthalten in: International journal of plant production - [Cham] : Springer International Publishing, 2007, 14(2019), 1 vom: 12. Nov., Seite 93-105
Übergeordnetes Werk:	volume:14 ; year:2019 ; number:1 ; day:12 ; month:11 ; pages:93-105

Links:	Volltext

DOI / URN:	10.1007/s42106-019-00070-8

Katalog-ID:	SPR03897617X

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520			\|a Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding.
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912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
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912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_266
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
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912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
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912			\|a GBV_ILN_2147
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author_variant	h v hv g m n gmn e m h emh b n bn f d k fdk
matchkey_str	article:17356814:2019----::fetvslcinniefrmrvntlrneoaesr
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allfields	10.1007/s42106-019-00070-8 doi (DE-627)SPR03897617X (SPR)s42106-019-00070-8-e DE-627 ger DE-627 rakwb eng 630 ASE 630 640 ASE Vaezi, H. verfasserin aut Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding. Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213 Mohammadi-Nejad, G. verfasserin aut Majidi-Heravan, E. verfasserin aut Nakhoda, B. verfasserin aut Darvish-Kajouri, F. verfasserin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 14(2019), 1 vom: 12. Nov., Seite 93-105 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:14 year:2019 number:1 day:12 month:11 pages:93-105 https://dx.doi.org/10.1007/s42106-019-00070-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2019 1 12 11 93-105
spelling	10.1007/s42106-019-00070-8 doi (DE-627)SPR03897617X (SPR)s42106-019-00070-8-e DE-627 ger DE-627 rakwb eng 630 ASE 630 640 ASE Vaezi, H. verfasserin aut Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding. Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213 Mohammadi-Nejad, G. verfasserin aut Majidi-Heravan, E. verfasserin aut Nakhoda, B. verfasserin aut Darvish-Kajouri, F. verfasserin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 14(2019), 1 vom: 12. Nov., Seite 93-105 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:14 year:2019 number:1 day:12 month:11 pages:93-105 https://dx.doi.org/10.1007/s42106-019-00070-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2019 1 12 11 93-105
allfields_unstemmed	10.1007/s42106-019-00070-8 doi (DE-627)SPR03897617X (SPR)s42106-019-00070-8-e DE-627 ger DE-627 rakwb eng 630 ASE 630 640 ASE Vaezi, H. verfasserin aut Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding. Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213 Mohammadi-Nejad, G. verfasserin aut Majidi-Heravan, E. verfasserin aut Nakhoda, B. verfasserin aut Darvish-Kajouri, F. verfasserin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 14(2019), 1 vom: 12. Nov., Seite 93-105 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:14 year:2019 number:1 day:12 month:11 pages:93-105 https://dx.doi.org/10.1007/s42106-019-00070-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2019 1 12 11 93-105
allfieldsGer	10.1007/s42106-019-00070-8 doi (DE-627)SPR03897617X (SPR)s42106-019-00070-8-e DE-627 ger DE-627 rakwb eng 630 ASE 630 640 ASE Vaezi, H. verfasserin aut Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding. Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213 Mohammadi-Nejad, G. verfasserin aut Majidi-Heravan, E. verfasserin aut Nakhoda, B. verfasserin aut Darvish-Kajouri, F. verfasserin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 14(2019), 1 vom: 12. Nov., Seite 93-105 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:14 year:2019 number:1 day:12 month:11 pages:93-105 https://dx.doi.org/10.1007/s42106-019-00070-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2019 1 12 11 93-105
allfieldsSound	10.1007/s42106-019-00070-8 doi (DE-627)SPR03897617X (SPR)s42106-019-00070-8-e DE-627 ger DE-627 rakwb eng 630 ASE 630 640 ASE Vaezi, H. verfasserin aut Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding. Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213 Mohammadi-Nejad, G. verfasserin aut Majidi-Heravan, E. verfasserin aut Nakhoda, B. verfasserin aut Darvish-Kajouri, F. verfasserin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 14(2019), 1 vom: 12. Nov., Seite 93-105 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:14 year:2019 number:1 day:12 month:11 pages:93-105 https://dx.doi.org/10.1007/s42106-019-00070-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2019 1 12 11 93-105
language	English
source	Enthalten in International journal of plant production 14(2019), 1 vom: 12. Nov., Seite 93-105 volume:14 year:2019 number:1 day:12 month:11 pages:93-105
sourceStr	Enthalten in International journal of plant production 14(2019), 1 vom: 12. Nov., Seite 93-105 volume:14 year:2019 number:1 day:12 month:11 pages:93-105
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Foxtail millet Proso millet Stress-tolerance/sensitive indices Water stress
dewey-raw	630
isfreeaccess_bool	false
container_title	International journal of plant production
authorswithroles_txt_mv	Vaezi, H. @@aut@@ Mohammadi-Nejad, G. @@aut@@ Majidi-Heravan, E. @@aut@@ Nakhoda, B. @@aut@@ Darvish-Kajouri, F. @@aut@@
publishDateDaySort_date	2019-11-12T00:00:00Z
hierarchy_top_id	529090082
dewey-sort	3630
id	SPR03897617X
language_de	englisch
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author	Vaezi, H.
spellingShingle	Vaezi, H. ddc 630 misc Foxtail millet misc Proso millet misc Stress-tolerance/sensitive indices misc Water stress Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm
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topic_title	630 ASE 630 640 ASE Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm Foxtail millet (dpeaa)DE-He213 Proso millet (dpeaa)DE-He213 Stress-tolerance/sensitive indices (dpeaa)DE-He213 Water stress (dpeaa)DE-He213
topic	ddc 630 misc Foxtail millet misc Proso millet misc Stress-tolerance/sensitive indices misc Water stress
topic_unstemmed	ddc 630 misc Foxtail millet misc Proso millet misc Stress-tolerance/sensitive indices misc Water stress
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title	Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm
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title_full	Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm
author_sort	Vaezi, H.
journal	International journal of plant production
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author_browse	Vaezi, H. Mohammadi-Nejad, G. Majidi-Heravan, E. Nakhoda, B. Darvish-Kajouri, F.
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class	630 ASE 630 640 ASE
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title_sort	effective selection indices for improving tolerance to water stress in millet germplasm
title_auth	Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm
abstract	Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding.
abstractGer	Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding.
abstract_unstemmed	Abstract To evaluate the yield potential of 96 ecotypes including 48 proso millet (Panicum miliaceum) and 48 foxtail millet ecotypes (Setaria italica) along with four check cultivars under well-watered and water stress conditions, a field experiment was carried out in the Agricultural Research Institute, Meybod, Yazd, Iran, during 2013–2014 using an incomplete block design with two replications. Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. Therefore, it is suggested to explore the stress tolerant ecotypes in practical plant breeding.
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title_short	Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm
url	https://dx.doi.org/10.1007/s42106-019-00070-8
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author2	Mohammadi-Nejad, G. Majidi-Heravan, E. Nakhoda, B. Darvish-Kajouri, F.
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doi_str	10.1007/s42106-019-00070-8
up_date	2024-07-03T21:06:09.186Z
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Based on the grain and forage yield, tolerance (TOL), stress susceptibility index (SSI), mean productivity (MP), harmonic mean (HM), geometric mean productivity (GMP) and stress tolerance index (STI) as drought tolerance indices were calculated and tolerant genotype selection index (TGSI) was conducted along with factor analysis. Among all the ecotypes and according to all indices, ecotypes S100, P10, S52, P97, S108, P20, S55, S104 and S18 were selected as the most drought-tolerant and grain yield potential. In addition, ecotypes P34, S104, P97, S39, S53, P102, P23, P5, S18, S13, S12, P92, and S3 were tolerant ecotypes with high potential forage yield. The results indicated that the ranking by TGSI was almost similar to the results obtained through the factor analysis. In addition, TGSI has had easier calculations than factor analysis and other methods. 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Effective Selection Indices for Improving Tolerance to Water Stress in Millet Germplasm

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