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Silva-Díaz C, Ramírez DA, Rinza J, Ninanya J, Loayza H, Gómez R, Anglin NL, Eyzaguirre R, Quiroz R. Radiation Interception, Conversion and Partitioning Efficiency in Potato Landraces: How Far Are We from the Optimum? Plants (Basel) 2020; 9:plants9060787. [PMID: 32585962 PMCID: PMC7356277 DOI: 10.3390/plants9060787] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 06/05/2020] [Accepted: 06/10/2020] [Indexed: 02/07/2023]
Abstract
Crop efficiencies associated with intercepted radiation, conversion into biomass and allocation to edible organs are essential for yield improvement strategies that would enhance genetic properties to maximize carbon gain without increasing crop inputs. The production of 20 potato landraces—never studied before—was analyzed for radiation interception (εi), conversion (εc) and partitioning (εp) efficiencies. Additionally, other physiological traits related to senescence delay (normalized difference vegetation index (NDVI)slp), tuberization precocity (tu), photosynthetic performance and dry tuber yield per plant (TY) were also assessed. Vegetation reflectance was remotely acquired and the efficiencies estimated through a process-based model parameterized by a time-series of airborne imageries. The combination of εi and εc, closely associated with an early tuber maturity and a NDVIslp explained 39% of the variability grouping the most productive genotypes. TY was closely correlated to senescence delay (rPearson = 0.74), indicating the usefulness of remote sensing methods for potato yield diversity characterization. About 89% of TY was explained by the first three principal components, associated mainly to tu, εc and εi, respectively. When comparing potato with other major crops, its εp is very close to the theoretical maximum. These findings suggest that there is room for improving εi and εc to enhance potato production.
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Affiliation(s)
- Cecilia Silva-Díaz
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - David A. Ramírez
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
- Water Resources Doctoral Program, Universidad Nacional Agraria La Molina (UNALM), Av. La Molina s/n, Lima 12, Peru
- Correspondence: ; Tel.: +51-993-913-578
| | - Javier Rinza
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - Johan Ninanya
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - Hildo Loayza
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - René Gómez
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - Noelle L. Anglin
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - Raúl Eyzaguirre
- International Potato Center (CIP), Headquarters P.O. Box 1558, Lima 12, Peru; (C.S.-D.); (J.R.); (J.N.); (H.L.); (R.G.); (N.L.A.); (R.E.)
| | - Roberto Quiroz
- CATIE—Centro Agronómico Tropical de Investigación y Enseñanza, Cartago Turrialba 30501, Costa Rica;
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Li Z, Si H, Xia Y, Ma C. Influence of low-molecular-weight glutenin subunit genes at Glu-A3 locus on wheat sodium dodecyl sulfate sedimentation volume and solvent retention capacity value. J Sci Food Agric 2015; 95:2047-2052. [PMID: 25242114 DOI: 10.1002/jsfa.6918] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Revised: 09/14/2014] [Accepted: 09/15/2014] [Indexed: 06/03/2023]
Abstract
BACKGROUND To understand the effect of low-molecular-weight (LMW) glutenin alleles at the Glu-A3 locus on sodium dodecyl sulfate (SDS) sedimentation volume and solvent retention capacity (SRC) values, 244 accessions of Chinese wheat (Triticum aestivum L.) mini core collections were investigated. In this study the significant differences in wholemeal flour SDS sedimentation volume and SRC values associated with specific glutenin alleles at the Glu-A3 locus were explained. RESULTS Seven glutenin alleles at the Glu-A3 locus were confirmed by locus-specific polymerase chain reaction (PCR). SDS sedimentation volume and lactic acid SRC value were significantly affected by alleles Glu-A3b and Glu-A3g. Based on total average values, 28 varieties carrying Glu-A3b had significantly higher means of SDS sedimentation volume and lactic acid SRC value, whereas 19 varieties carrying Glu-A3g had significantly lower means. Alleles Glu-A3d and Glu-A3f significantly increased only SDS sedimentation volume and sucrose SRC value respectively. Correlation analysis showed that SDS sedimentation volume was uncorrelated with lactic acid SRC and sucrose SRC values. CONCLUSION The Glu-A3 LMW glutenin subunit could predict 12.8% of the variance in SDS sedimentation volume, 4.7% in lactic acid SRC and 6.4% in sucrose SRC.
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Affiliation(s)
- Zhixia Li
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Hongqi Si
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement in Southern Yellow & Huai River Valley Wheat Zone, Ministry of Agriculture, Hefei 230036, China
| | - Yunxiang Xia
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Chuanxi Ma
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement in Southern Yellow & Huai River Valley Wheat Zone, Ministry of Agriculture, Hefei 230036, China
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Upadhyaya HD, Kashiwagi J, Varshney RK, Gaur PM, Saxena KB, Krishnamurthy L, Gowda CLL, Pundir RPS, Chaturvedi SK, Basu PS, Singh IP. Phenotyping chickpeas and pigeonpeas for adaptation to drought. Front Physiol 2012; 3:179. [PMID: 22675307 PMCID: PMC3365634 DOI: 10.3389/fphys.2012.00179] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2012] [Accepted: 05/16/2012] [Indexed: 11/28/2022] Open
Abstract
The chickpea and pigeonpea are protein-rich grain legumes used for human consumption in many countries. Grain yield of these crops is low to moderate in the semi-arid tropics with large variation due to high GxE interaction. In the Indian subcontinent chickpea is grown in the post-rainy winter season on receding soil moisture, and in other countries during the cool and dry post winter or spring seasons. The pigeonpea is sown during rainy season which flowers and matures in post-rainy season. The rainy months are hot and humid with diurnal temperature varying between 25 and 35°C (maximum) and 20 and 25°C (minimum) with an erratic rainfall. The available soil water during post-rainy season is about 200-250 mm which is bare minimum to meet the normal evapotranspiration. Thus occurrence of drought is frequent and at varying degrees. To enhance productivity of these crops cultivars tolerant to drought need to be developed. ICRISAT conserves a large number of accessions of chickpea (>20,000) and pigeonpea (>15,000). However only a small proportion (<1%) has been used in crop improvement programs mainly due to non-availability of reliable information on traits of economic importance. To overcome this, core and mini core collections (10% of core, 1% of entire collection) have been developed. Using the mini core approach, trait-specific donor lines were identified for agronomic, quality, and stress related traits in both crops. Composite collections were developed both in chickpea (3000 accessions) and pigeonpea (1000 accessions), genotyped using SSR markers and genotype based reference sets of 300 accessions selected for each crop. Screening methods for different drought-tolerant traits such as early maturity (drought escape), large and deep root system, high water-use efficiency, smaller leaflets, reduced canopy temperature, carbon isotope discrimination, high leaf chlorophyll content (drought avoidance), and breeding strategies for improving drought tolerance have been discussed.
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Affiliation(s)
- H. D. Upadhyaya
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - J. Kashiwagi
- Crop Science Laboratory, Graduate School of Agriculture, Hokkaido UniversitySapporo, Japan
| | - R. K. Varshney
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - P. M. Gaur
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - K. B. Saxena
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - L. Krishnamurthy
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - C. L. L. Gowda
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | - R. P. S. Pundir
- International Crops Research Institute for the Semi Arid TropicsHyderabad, India
| | | | - P. S. Basu
- Indian Institute of Pulses ResearchKanpur, India
| | - I. P. Singh
- Indian Institute of Pulses ResearchKanpur, India
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Kaga A, Shimizu T, Watanabe S, Tsubokura Y, Katayose Y, Harada K, Vaughan DA, Tomooka N. Evaluation of soybean germplasm conserved in NIAS genebank and development of mini core collections. Breed Sci 2012; 61:566-92. [PMID: 23136496 PMCID: PMC3406788 DOI: 10.1270/jsbbs.61.566] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2011] [Accepted: 11/24/2011] [Indexed: 05/09/2023]
Abstract
Genetic variation and population structure among 1603 soybean accessions, consisted of 832 Japanese landraces, 109 old and 57 recent Japanese varieties, 341 landrace from 16 Asian countries and 264 wild soybean accessions, were characterized using 191 SNP markers. Although gene diversity of Japanese soybean germplasm was slight lower than that of exotic soybean germplasm, population differentiation and clustering analyses indicated clear genetic differentiation among Japanese cultivated soybeans, exotic cultivated soybeans and wild soybeans. Nine hundred ninety eight Japanese accessions were separated to a certain extent into groups corresponding to their agro-morphologic characteristics such as photosensitivity and seed characteristics rather than their geographical origin. Based on the assessment of the SNP markers and several agro-morphologic traits, accessions that retain gene diversity of the whole collection were selected to develop several soybean sets of different sizes using an heuristic approach; a minimum of 12 accessions can represent the observed gene diversity; a mini-core collection of 96 accession can represent a major proportion of both geographic origin and agro-morphologic trait variation. These selected sets of germplasm will provide an effective platform for enhancing soybean diversity studies and assist in finding novel traits for crop improvement.
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Affiliation(s)
- Akito Kaga
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Takehiko Shimizu
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
- Institute of Society for Techno-Innovation of Agriculture, Forestry and Fisheries, Kamiyokoba Ippaizuka 446-1, Tsukuba, Ibaraki 305-0854, Japan
| | - Satoshi Watanabe
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Yasutaka Tsubokura
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Yuichi Katayose
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Kyuya Harada
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Duncan A. Vaughan
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
| | - Norihiko Tomooka
- National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan
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