Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions
Spectral reflectance (SR) indices [NDVI (R 900 – R 680 /R 900 + R 680 ); GNDVI (R 780 – R 550 /R 780 + R 550 ); and water index, WI (R 900 /R 970 )]; and 6 chlorophyll indices (R 740 /R 720 , NDI = R 750 – R 705 /R 750 + R 705 , R 780 – R 710 /R 780 – R 680 , R 850 – R 710 /R 850 – R 680 , mND = R 7...
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Veröffentlicht in: | Australian journal of agricultural research 2004-01, Vol.55 (11), p.1139-1147 |
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description | Spectral reflectance (SR) indices [NDVI (R 900 – R 680 /R 900 + R 680 ); GNDVI (R 780 – R 550 /R 780 + R 550 ); and water index, WI (R 900 /R 970 )]; and 6 chlorophyll indices (R 740 /R 720 , NDI = R 750 – R 705 /R 750 + R 705 , R 780 – R 710 /R 780 – R 680 , R 850 – R 710 /R 850 – R 680 , mND = R 750 – R 705 /R 750 + R 705 – 2R 445 , and mSR = R 750 – R 445 /R 705 – R 445 ) were measured with a FieldSpec spectroradiometer (Analytical Spectral Devices, Boulder, CO) on bread wheat ( Triticum aestivum L.) genotypes adapted to irrigated and drought conditions to establish their relationship with yield in field-grown plots. Bread wheat genotypes from the International Maize and Wheat Improvement Center (CIMMYT) were used for this study in 3 experiments: 8 genotypes in a trial representing historical progress in yield potential, and 3 pairs of near-isolines for Lr19 , both of which were grown under well-watered conditions; and the third experiment included 20 drought tolerant advanced genotypes grown under moisture stress. These were grown during the 2000 and 2001 spring cycles in a temperate, high radiation environment in Obregón, NW México. The 9 SR indices were determined during grain filling along with canopy temperature depression (CTD), flag leaf photosynthetic rate, and chlorophyll estimates using a SPAD meter. The relationship of SR indices with grain yield and biomass fitted best with a linear model. NDVI and GNDVI showed positive relationships with grain yield and biomass under well-irrigated conditions ( r = 0.35–0.92), whereas NDVI showed a stronger association with yield under drought conditions ( r = 0.54). The 6 chlorophyll indices showed significant association with yield and biomass of wheat genotypes grown under well-irrigated conditions ( r = 0.39–0.90). The association between chlorophyll indices and chlorophyll estimates was correlated ( r = 0.38–0.92), as was the case for photosynthetic rate ( r = 0.36–0.75). WI showed a significant relationship with grain yield in wheat genotypes grown under drought stress conditions ( r = 0.60) as well as with grain yield and biomass under well-irrigated conditions ( r = 0.52–0.91). The relationship between WI and CTD was significant ( P ≤ 0.05) in both environments ( r = 0.44–0.84). In conclusion, the SR showed potential for identifying higher-yielding genotypes in a breeding program under dry or irrigated conditions, as well as for estimating some physiological parameters. |
doi_str_mv | 10.1071/AR04214 |
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Bread wheat genotypes from the International Maize and Wheat Improvement Center (CIMMYT) were used for this study in 3 experiments: 8 genotypes in a trial representing historical progress in yield potential, and 3 pairs of near-isolines for Lr19 , both of which were grown under well-watered conditions; and the third experiment included 20 drought tolerant advanced genotypes grown under moisture stress. These were grown during the 2000 and 2001 spring cycles in a temperate, high radiation environment in Obregón, NW México. The 9 SR indices were determined during grain filling along with canopy temperature depression (CTD), flag leaf photosynthetic rate, and chlorophyll estimates using a SPAD meter. The relationship of SR indices with grain yield and biomass fitted best with a linear model. NDVI and GNDVI showed positive relationships with grain yield and biomass under well-irrigated conditions ( r = 0.35–0.92), whereas NDVI showed a stronger association with yield under drought conditions ( r = 0.54). The 6 chlorophyll indices showed significant association with yield and biomass of wheat genotypes grown under well-irrigated conditions ( r = 0.39–0.90). The association between chlorophyll indices and chlorophyll estimates was correlated ( r = 0.38–0.92), as was the case for photosynthetic rate ( r = 0.36–0.75). WI showed a significant relationship with grain yield in wheat genotypes grown under drought stress conditions ( r = 0.60) as well as with grain yield and biomass under well-irrigated conditions ( r = 0.52–0.91). The relationship between WI and CTD was significant ( P ≤ 0.05) in both environments ( r = 0.44–0.84). In conclusion, the SR showed potential for identifying higher-yielding genotypes in a breeding program under dry or irrigated conditions, as well as for estimating some physiological parameters.</description><identifier>ISSN: 0004-9409</identifier><identifier>EISSN: 1836-5795</identifier><identifier>DOI: 10.1071/AR04214</identifier><identifier>CODEN: AJAEA9</identifier><language>eng</language><publisher>Collingwood: Commonwealth Scientific and Industrial Research Organization</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; chlorophyll ; Fundamental and applied biological sciences. Psychology ; green normalised vegetation difference index ; normalised vegetation difference index ; water index</subject><ispartof>Australian journal of agricultural research, 2004-01, Vol.55 (11), p.1139-1147</ispartof><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c318t-c2efb71acc363b0c730f71034653aced6643dc98687b048e39baa340503ca5103</citedby><cites>FETCH-LOGICAL-c318t-c2efb71acc363b0c730f71034653aced6643dc98687b048e39baa340503ca5103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3341,3342,27915,27916</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16330216$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>GUTIDRREZ-RODRIGUEZ, Mario</creatorcontrib><creatorcontrib>REYNOLDS, Matthew Paul</creatorcontrib><creatorcontrib>ESCALANTE-ESTRADA, José Alberto</creatorcontrib><creatorcontrib>RODRIGUEZ-GONZALEZ, Maria Teresa</creatorcontrib><title>Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions</title><title>Australian journal of agricultural research</title><description>Spectral reflectance (SR) indices [NDVI (R 900 – R 680 /R 900 + R 680 ); GNDVI (R 780 – R 550 /R 780 + R 550 ); and water index, WI (R 900 /R 970 )]; and 6 chlorophyll indices (R 740 /R 720 , NDI = R 750 – R 705 /R 750 + R 705 , R 780 – R 710 /R 780 – R 680 , R 850 – R 710 /R 850 – R 680 , mND = R 750 – R 705 /R 750 + R 705 – 2R 445 , and mSR = R 750 – R 445 /R 705 – R 445 ) were measured with a FieldSpec spectroradiometer (Analytical Spectral Devices, Boulder, CO) on bread wheat ( Triticum aestivum L.) genotypes adapted to irrigated and drought conditions to establish their relationship with yield in field-grown plots. Bread wheat genotypes from the International Maize and Wheat Improvement Center (CIMMYT) were used for this study in 3 experiments: 8 genotypes in a trial representing historical progress in yield potential, and 3 pairs of near-isolines for Lr19 , both of which were grown under well-watered conditions; and the third experiment included 20 drought tolerant advanced genotypes grown under moisture stress. These were grown during the 2000 and 2001 spring cycles in a temperate, high radiation environment in Obregón, NW México. The 9 SR indices were determined during grain filling along with canopy temperature depression (CTD), flag leaf photosynthetic rate, and chlorophyll estimates using a SPAD meter. The relationship of SR indices with grain yield and biomass fitted best with a linear model. NDVI and GNDVI showed positive relationships with grain yield and biomass under well-irrigated conditions ( r = 0.35–0.92), whereas NDVI showed a stronger association with yield under drought conditions ( r = 0.54). The 6 chlorophyll indices showed significant association with yield and biomass of wheat genotypes grown under well-irrigated conditions ( r = 0.39–0.90). The association between chlorophyll indices and chlorophyll estimates was correlated ( r = 0.38–0.92), as was the case for photosynthetic rate ( r = 0.36–0.75). WI showed a significant relationship with grain yield in wheat genotypes grown under drought stress conditions ( r = 0.60) as well as with grain yield and biomass under well-irrigated conditions ( r = 0.52–0.91). The relationship between WI and CTD was significant ( P ≤ 0.05) in both environments ( r = 0.44–0.84). In conclusion, the SR showed potential for identifying higher-yielding genotypes in a breeding program under dry or irrigated conditions, as well as for estimating some physiological parameters.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>chlorophyll</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>green normalised vegetation difference index</subject><subject>normalised vegetation difference index</subject><subject>water index</subject><issn>0004-9409</issn><issn>1836-5795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNpFkN1KAzEQhYMoWKv4CrkRr1YnTTa7e1mKf1AQRK-X2WS2jWw3JUkpfQcf2u0PejMzMN-c4RzGbgU8CCjE4_QD1ESoMzYSpdRZXlT5ORsBgMoqBdUlu4rxG0CrXOgR-5nG6I3D5HzPG0pbop4b7P16xwO1HZmEvSHueusMRY695TtHnT1M6-UuOt_5hTPY8RTQpTigvAmElm-XhIlvekuB2-A3i2U6XG2p6zIXgltgIsuNH7T3_-M1u2ixi3Rz6mP29fz0OXvN5u8vb7PpPDNSlCkzE2qbQqAxUssGTCGhLQRIpXOJhqzWSlpTlbosGlAlyapBlApykAbzARyz-6OuCT7GwWa9Dm6FYVcLqPch1qcQB_LuSK4xDhbbMITh4j-upYTJUMeMnxSjC_5vj-EgUy_TSv4CSrp_Og</recordid><startdate>20040101</startdate><enddate>20040101</enddate><creator>GUTIDRREZ-RODRIGUEZ, Mario</creator><creator>REYNOLDS, Matthew Paul</creator><creator>ESCALANTE-ESTRADA, José Alberto</creator><creator>RODRIGUEZ-GONZALEZ, Maria Teresa</creator><general>Commonwealth Scientific and Industrial Research Organization</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20040101</creationdate><title>Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions</title><author>GUTIDRREZ-RODRIGUEZ, Mario ; REYNOLDS, Matthew Paul ; ESCALANTE-ESTRADA, José Alberto ; RODRIGUEZ-GONZALEZ, Maria Teresa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-c2efb71acc363b0c730f71034653aced6643dc98687b048e39baa340503ca5103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>chlorophyll</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>green normalised vegetation difference index</topic><topic>normalised vegetation difference index</topic><topic>water index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>GUTIDRREZ-RODRIGUEZ, Mario</creatorcontrib><creatorcontrib>REYNOLDS, Matthew Paul</creatorcontrib><creatorcontrib>ESCALANTE-ESTRADA, José Alberto</creatorcontrib><creatorcontrib>RODRIGUEZ-GONZALEZ, Maria Teresa</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Australian journal of agricultural research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>GUTIDRREZ-RODRIGUEZ, Mario</au><au>REYNOLDS, Matthew Paul</au><au>ESCALANTE-ESTRADA, José Alberto</au><au>RODRIGUEZ-GONZALEZ, Maria Teresa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions</atitle><jtitle>Australian journal of agricultural research</jtitle><date>2004-01-01</date><risdate>2004</risdate><volume>55</volume><issue>11</issue><spage>1139</spage><epage>1147</epage><pages>1139-1147</pages><issn>0004-9409</issn><eissn>1836-5795</eissn><coden>AJAEA9</coden><abstract>Spectral reflectance (SR) indices [NDVI (R 900 – R 680 /R 900 + R 680 ); GNDVI (R 780 – R 550 /R 780 + R 550 ); and water index, WI (R 900 /R 970 )]; and 6 chlorophyll indices (R 740 /R 720 , NDI = R 750 – R 705 /R 750 + R 705 , R 780 – R 710 /R 780 – R 680 , R 850 – R 710 /R 850 – R 680 , mND = R 750 – R 705 /R 750 + R 705 – 2R 445 , and mSR = R 750 – R 445 /R 705 – R 445 ) were measured with a FieldSpec spectroradiometer (Analytical Spectral Devices, Boulder, CO) on bread wheat ( Triticum aestivum L.) genotypes adapted to irrigated and drought conditions to establish their relationship with yield in field-grown plots. Bread wheat genotypes from the International Maize and Wheat Improvement Center (CIMMYT) were used for this study in 3 experiments: 8 genotypes in a trial representing historical progress in yield potential, and 3 pairs of near-isolines for Lr19 , both of which were grown under well-watered conditions; and the third experiment included 20 drought tolerant advanced genotypes grown under moisture stress. These were grown during the 2000 and 2001 spring cycles in a temperate, high radiation environment in Obregón, NW México. The 9 SR indices were determined during grain filling along with canopy temperature depression (CTD), flag leaf photosynthetic rate, and chlorophyll estimates using a SPAD meter. The relationship of SR indices with grain yield and biomass fitted best with a linear model. NDVI and GNDVI showed positive relationships with grain yield and biomass under well-irrigated conditions ( r = 0.35–0.92), whereas NDVI showed a stronger association with yield under drought conditions ( r = 0.54). The 6 chlorophyll indices showed significant association with yield and biomass of wheat genotypes grown under well-irrigated conditions ( r = 0.39–0.90). The association between chlorophyll indices and chlorophyll estimates was correlated ( r = 0.38–0.92), as was the case for photosynthetic rate ( r = 0.36–0.75). WI showed a significant relationship with grain yield in wheat genotypes grown under drought stress conditions ( r = 0.60) as well as with grain yield and biomass under well-irrigated conditions ( r = 0.52–0.91). The relationship between WI and CTD was significant ( P ≤ 0.05) in both environments ( r = 0.44–0.84). In conclusion, the SR showed potential for identifying higher-yielding genotypes in a breeding program under dry or irrigated conditions, as well as for estimating some physiological parameters.</abstract><cop>Collingwood</cop><pub>Commonwealth Scientific and Industrial Research Organization</pub><doi>10.1071/AR04214</doi><tpages>9</tpages></addata></record> |
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subjects | Agronomy. Soil science and plant productions Biological and medical sciences chlorophyll Fundamental and applied biological sciences. Psychology green normalised vegetation difference index normalised vegetation difference index water index |
title | Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions |
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