000			03691nam a22003737a 4500
001			69611
003			MX-TxCIM
005			20251126165149.0
008			251125s2025 gw ||||| |||| 00| 0 eng d
040			_aMX-TxCIM
100	1		_aKarnati, B. _940713
245	1	0	_aHarnessing radiation use efficiency using spectral reflectance indices for climate-resilient wheat improvement in CIMMYT international nurseries
260			_aBonn (Germany) : _bUniversity of Bonn, _c2025.
300			_a1 page
500			_aPresented at Tropentag 2025: International Conference on Research for Sustainable Development, September 10–12, Hybrid Conference.
520			_aWheat productivity is significantly constrained by climate change–induced drought stress, often compounded by high irradiance, which inhibits photosynthesis and reduces yield. Spectral reflectance indices (SRIs) can assess physiological traits, including leaf pigments, as rapid, nondestructive proxies for drought response. This study identified genotypic variation among 24 spring wheat Lines under water-deficit (WD) conditions using SRIs and evaluated their association with crop performance. The experiment was conducted during the 2023/2024 season at CIMMYT’s field station in Ciudad Obregón, Sonora, Mexico. SRIs for Anthocyanin Reflectance Index (ARI), Carotenoid Reflectance Index (CRI), Ratio Analysis of Carotenoids (RARSc), Structure Insensitive Pigment Index (SIPI), Photochemical Reflectance Index (PRI), Normalised Difference Vegetation Index (NDVI), Ratio Analysis of Chlorophyll a (RARSa), Ratio Analysis of Chlorophyll b (RARSb), Water Index (WI), and Normalised Difference Water Index (NDWI) were used to assess physiological status at early reproductive and maturation stages. ARI increased under WD across both stages, indicating higher anthocyanin accumulation for photoprotection and antioxidant defence. PRI reduction under WD reflected increased xanthophyll cycle de-epoxidation and excess energy dissipation, while CRI and RARSc were higher under well-watered (WW) conditions, suggesting inhibition of carotenoid biosynthesis under WD. NDVI consistently declined under WD due to reduced green biomass, whereas SPAD values showed limited variation and contribution to principal component analysis. Chlorophyll index RARSa increased under WD in most Lines. WI and NDWI significantly decreased under WD. On average, grain yield and biomass were reduced by 46 % and 48 %, respectively. SRIs (PRI, NDVI, CRI, RARSc, RARSb, WI, NDWI) showed strong positive correlations with yield and biomass, while ARI, SIPI, and RARSa were negatively associated across stages and environments. Two Lines were drought-adapted, and two were drought-sensitive. Overall, SRIs proved reliable for identifying high-yielding, drought-resilient Lines, supporting their use in breeding for water-limited conditions.
546			_aText in English
600			_2
650		7	_aClimate change _2AGROVOC _91045
650		7	_aDrought _91080
650		7	_aHeat _2AGROVOC _91143
650		7	_aFood security _2AGROVOC _91118
650		7	_aHigh-throughput phenotyping _2AGROVOC _930900
650		7	_aRemote sensing _2AGROVOC _91986
700	1		_aRivera Amado, A.C. _8N1313814 _gGlobal Wheat Program _91903
700	1		_aPieters, A. _940709
700	1		_aGerard, G.S. _81713398 _gGlobal Wheat Program _911490
700	1		_aVelu, G. _gGlobal Wheat Program _8INT2983 _9880
700	1		_aCrespo-Herrera, L.A. _gGlobal Wheat Program _8I1706538 _92608
700	1		_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831
700	1		_aAsch, F. _921429
711	2		_aTropentag _940712 _d(September 10-12, 2025 : _cBonn, Germany)
942			_2ddc _cCPA _n0
999			_c69611 _d69603