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Xiang W, Li K, Dong F, Zhang Y, Zeng Q, Jiang L, Zhang D, Huang Y, Xiao L, Zhang Z, Zhang C. Development of a multicriteria decision-making model for evaluating hybrid offspring in the sweetpotato ( Ipomoea batatas L.) breeding process. BREEDING SCIENCE 2023; 73:246-260. [PMID: 37840976 PMCID: PMC10570886 DOI: 10.1270/jsbbs.22096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/13/2023] [Indexed: 10/17/2023]
Abstract
Sweetpotato variety breeding is always a long process. Screening of hybrid offspring is dominated by empirical judgment in this process. Data analysis and decision fatigue have been troubling breeders. In recent years, the low-efficiency screening mode has been unable to meet the requirements of sweetpotato germplasm innovation. Therefore, it is necessary to construct a high-efficiency method that can screen germplasms for different usages, for mining elite genotypes, and to create dedicated sweetpotato varieties. In this article, the multicriteria decision-making (MCDM) model was constructed based on six agronomic traits, including fresh root yield, vine length, vine diameter, branch number, root number and the spatial distribution of storage roots, and five quality traits, including dry matter content, marketable root yield, uniformity of roots, starch content and the edible quality score. Among these, the edible quality score was calculated by using fuzzy comprehensive evaluation to integrate the sensory scores of color, odor, sweetness, stickiness and fibrous taste. The MCDM model was compared with the traditional screening method via an evaluation in 25 sweetpotato materials. The interference of subjective factors on the evaluation results was significantly reduced. The MCDM model is more overall, more accurate and faster than the traditional screening method in the selection of elite sweetpotato materials. It could be programmed to serve the breeders in combination with the traditional screening method.
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Affiliation(s)
- Wei Xiang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Kailong Li
- Plant Protection Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Fang Dong
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Ya Zhang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Qiang Zeng
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Ling Jiang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Daowei Zhang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Yanlan Huang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Liang Xiao
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, Hunan, PR China
| | - Zhuo Zhang
- Plant Protection Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
| | - Chaofan Zhang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China
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Azotobacter chroococcum inoculation under low drought stress condition improves Trachyspermum ammi seeds' essential oil bioactivity. BIOCHEM SYST ECOL 2022. [DOI: 10.1016/j.bse.2022.104537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Radulescu CZ, Radulescu M, Boncea R. A Multi-Criteria Decision Support and Application to the Evaluation of the Fourth Wave of COVID-19 Pandemic. ENTROPY 2022; 24:e24050642. [PMID: 35626527 PMCID: PMC9141305 DOI: 10.3390/e24050642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/28/2022] [Accepted: 04/30/2022] [Indexed: 12/10/2022]
Abstract
The COVID-19 pandemic caused important health and societal damage across the world in 2020–2022. Its study represents a tremendous challenge for the scientific community. The correct evaluation and analysis of the situation can lead to the elaboration of the most efficient strategies and policies to control and mitigate its propagation. The paper proposes a Multi-Criteria Decision Support (MCDS) based on the combination of three methods: the Group Analytic Hierarchy Process (GAHP), which is a subjective group weighting method; Extended Entropy Weighting Method (EEWM), which is an objective weighting method; and the COmplex PRoportional ASsessment (COPRAS), which is a multi-criteria method. The COPRAS uses the combined weights calculated by the GAHP and EEWM. The sum normalization (SN) is considered for COPRAS and EEWM. An extended entropy is proposed in EEWM. The MCDS is implemented for the development of a complex COVID-19 indicator called COVIND, which includes several countries’ COVID-19 indicators, over a fourth COVID-19 wave, for a group of European countries. Based on these indicators, a ranking of the countries is obtained. An analysis of the obtained rankings is realized by the variation of two parameters: a parameter that describes the combination of weights obtained with EEWM and GAHP and the parameter of extended entropy function. A correlation analysis between the new indicator and the general country indicators is performed. The MCDS provides policy makers with a decision support able to synthesize the available information on the fourth wave of the COVID-19 pandemic.
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Affiliation(s)
- Constanta Zoie Radulescu
- National Institute for Research and Development in Informatics, 8-10, Mareşal Averescu, 011455 Bucharest, Romania; (C.Z.R.); (R.B.)
| | - Marius Radulescu
- “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Calea 13 Septembrie, No. 13, 050711 Bucharest, Romania
- Correspondence:
| | - Radu Boncea
- National Institute for Research and Development in Informatics, 8-10, Mareşal Averescu, 011455 Bucharest, Romania; (C.Z.R.); (R.B.)
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Quantitative Lasting Effects of Drought Stress at a Growth Stage on Soybean Evapotranspiration and Aboveground BIOMASS. WATER 2020. [DOI: 10.3390/w13010018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Quantifying the lasting effects of drought stress on crop growth is a theoretical basis for revealing agricultural drought risk mechanism and formulating adaptive irrigation strategies. Based on two-season pot experiments of soybean in the Huaibei Plain, quantitative responses of plant evapotranspiration and aboveground biomass at each growth stage from a drought were carried out. The results showed that drought stress at a certain stage of soybean not only significantly reduced the current evapotranspiration and aboveground biomass accumulation during this stage, compared with full irrigation, but also generated the after-effects, which resulted in the reductions of evapotranspiration and biomass accumulation at the subsequent periods. Furthermore, the damaged transpiration and growth mechanism caused by drought gradually recovered through the rewatering later, and the compensation phenomenon even occurred. Nevertheless, the specific recovery effect was decided by both the degree and period of drought before. It is practical to implement deficit irrigation at the seedling and branching stages, but the degree should be controlled. Meanwhile, it is crucial to ensure sufficient water supply during the reproductive growth phase, especially at the flowering and pod-enlargement stage, to guarantee a normal transpiration function and a high biomass yield for soybeans in the Huaibei Plain.
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