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Research progress on rapid detection technology of soybean phenotypic indicators under saline-alkali stress.

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Title: Research progress on rapid detection technology of soybean phenotypic indicators under saline-alkali stress.
Authors: Guan H; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.; Key Laboratory of Low-Carbon Green Agriculture in Northeastern China, Ministry of Agriculture and Rural Affairs, Daqing, 163319, China., Li J; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China., Ma X; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China. mxd@alu.cau.edu.cn., Zhang X; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China., Yang J; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.
Source: Planta [Planta] 2026 May 27; Vol. 264 (1). Date of Electronic Publication: 2026 May 27.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer-Verlag [etc.] Country of Publication: Germany NLM ID: 1250576 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-2048 (Electronic) Linking ISSN: 00320935 NLM ISO Abbreviation: Planta Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42201423
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Research progress on rapid detection technology of soybean phenotypic indicators under saline-alkali stress.
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  Data: <searchLink fieldCode="AU" term="%22Guan+H%22">Guan H</searchLink>; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.; Key Laboratory of Low-Carbon Green Agriculture in Northeastern China, Ministry of Agriculture and Rural Affairs, Daqing, 163319, China.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.<br /><searchLink fieldCode="AU" term="%22Ma+X%22">Ma X</searchLink>; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China. mxd@alu.cau.edu.cn.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Da Qing, 163319, China.
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  Data: <searchLink fieldCode="JN" term="%221250576%22">Planta</searchLink> [Planta] 2026 May 27; Vol. 264 (1). <i>Date of Electronic Publication: </i>2026 May 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+[etc%2E]%22">Springer-Verlag [etc.] </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>1250576 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-2048 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200320935%22">00320935 </searchLink><i>NLM ISO Abbreviation: </i>Planta <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s00425-026-05031-w
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      – Code: eng
        Text: English
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      – TitleFull: Research progress on rapid detection technology of soybean phenotypic indicators under saline-alkali stress.
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              Text: 2026 May 27
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              Y: 2026
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