Your browser doesn't support javascript.
loading
Phenotyping of Potato Plants Using Morphological and Physiological Tools.
Rozentsvet, Olga; Bogdanova, Elena; Nesterov, Viktor; Bakunov, Alexey; Milekhin, Alexey; Rubtsov, Sergei; Rozentsvet, Victor.
Afiliação
  • Rozentsvet O; Samara Federal Research Scientific Center RAS, Institute of Ecology of the Volga Basin RAS, 10, Komzina, Togliatti 445003, Russia.
  • Bogdanova E; Samara Federal Research Scientific Center RAS, Institute of Ecology of the Volga Basin RAS, 10, Komzina, Togliatti 445003, Russia.
  • Nesterov V; Samara Federal Research Scientific Center RAS, Institute of Ecology of the Volga Basin RAS, 10, Komzina, Togliatti 445003, Russia.
  • Bakunov A; Samara Federal Research Scientific Center RAS, Samara Scientific Research Agriculture Institute Named after N.M. Tulaykov, Bezenchuk 446254, Russia.
  • Milekhin A; Samara Federal Research Scientific Center RAS, Samara Scientific Research Agriculture Institute Named after N.M. Tulaykov, Bezenchuk 446254, Russia.
  • Rubtsov S; Samara Federal Research Scientific Center RAS, Samara Scientific Research Agriculture Institute Named after N.M. Tulaykov, Bezenchuk 446254, Russia.
  • Rozentsvet V; Samara Federal Research Scientific Center RAS, Institute of Ecology of the Volga Basin RAS, 10, Komzina, Togliatti 445003, Russia.
Plants (Basel) ; 13(5)2024 Feb 26.
Article em En | MEDLINE | ID: mdl-38475492
ABSTRACT
Potato (Solanum tuberosum L.) is one of the main non-grain agricultural crops and one of the main sources of food for humanity. Currently, growing potatoes requires new approaches and methods for cultivation and breeding. Phenotyping is one of the important tools for assessing the characteristics of a potato variety. In this work, 29 potato varieties of different ripeness groups were studied. Linear leaf dimensions, leaf mass area, number of stems, number of tubers per plant, average tuber weight, signs of virus infection, dry weight, pigment content, and number of stomata per unit leaf area were used as phenotyping tools. The strongest positive relationship was found between yield and bush area in the stage of full shoots (R = 0.77, p = 0.001), linear dimensions of a complex leaf (R = 0.44, p = 0.002; R = 0.40, p = 0.003), number of stems (R = 0.36, p = 0.05), and resistance to viruses X (R = 0.42, p = 0.03) and S (R = 0.43, p = 0.02). An inverse relationship was found between growth dynamics and yield (R = -0.29, p = 0.05). Thus, the use of morphological and physiological phenotyping tools in the field is informative for predicting key agricultural characteristics such as yield and/or stress resistance.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article