Journals / Mediterranean Agricultural Sciences / 2020 / Cilt: 33 - Sayı: 3

SSR marker analysis of plant height in sweet sorghum [Sorghum bicolor (L.) Moench]

Şeker sorgumda [Sorgum bicolor (L.) Moench] bitki boyunun SSR marker analizi

Pages
405–410
Publication Date
2020-12-28
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicated that four SSR markers efficiency were assessed as 38% at lowland and 39% at highland.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Sorghum (Sorghum bicolor (L.) Moench) is one of the most promising bio-energy crops with the ability to produce high biomass with low input.
📊
Key Findings & Data:Plant height that has a significant contribution to gain in bio-ethanol production is among the most important biomass yield components.
💡
Conclusion & Impact:The results indicated that four SSR markers efficiency were assessed as 38% at lowland and 39% at highland.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bio-energy · Biomass · SSR

Abstract

Sorghum (Sorghum bicolor (L.) Moench) is one of the most promising bio-energy crops with the ability to produce high biomass with low input. Plant height that has a significant contribution to gain in bio-ethanol production is among the most important biomass yield components. In the present study, sorghum genotypes were screened with four SSR markers which are associated with plant height QTLs. The molecular assays were confirmed with two different environments in two consecutive years. In the first year of the study, molecular analyses were performed with a sorghum collection consisting of 551 accessions as well as plant height measurements were performed under field condition. In the second year, 53 out of 551 accessions were selected and further tests with nine controls were performed in Antalya (a lowland province) and Konya (a highland province) locations along with molecular marker analyses. The results indicated that four SSR markers efficiency were assessed as 38% at lowland and 39% at highland. Markers 40-9187 and 37-1740 were of more powerful to explain plant height QTLs than the other two markers at two environments. This study reported the successful application of the association between markers and plant height in two environments to identify valuable genetic resources for bio-energy production in sweet sorghum.

Özet

Sorgum (Sorghum bicolor (L.) Moench), düşük girdi ile yüksek biyokütle üretebilme yeteneğine sahip umut verici biyo-enerji bitkilerinden biridir. Biyoetanol üretiminde kayda değer katkıları olan bitki boyu, biyokütle verimini oluşturan en önemli bileşenler arasındadır. Bu çalışmada, sorgum genotipleri bitki boyu QTL'leri ile ilişkili dört SSR marker ile taranmıştır. Moleküler analizler, ardışık 2 yıl ve 2 farklı ortamda doğrulanmıştır. Çalışmanın ilk yılında 551 genotipten oluşan sorgum koleksiyonunda moleküler analizler ve tarla koşullarında bitki boyu ölçümleri yapılmıştır. İkinci yılda ise 551 genotipten 53'ü seçilerek, dokuz kontrol çeşit kullanılarak moleküler analizler ile birlikte Antalya (ova) ve Konya (yayla) lokasyonlarında ileri testler gerçekleştirildi. Sonuçlara göre; dört SSR markerin verimliliği ovada %38 ve yaylada %39’dur. 40-9187 ve 37-1740 markerleri, iki ortamda da diğer iki marköre göre bitki yüksekliği ile ilişkili QTL'lerin açıklanmasında daha güçlü olarak belirlenmiştir. Bu çalışma, şeker sorgumda biyo-enerji üretimi için değerli genetik kaynakları belirlemek adına iki ortamda da markerler ve bitki boyu arasındaki ilişkinin belirlenmesinde başarılı bir şekilde uygulandığının bildirilmesidir.

🔖

Cite This Article

GUDEN, B., YOL, E., ERDURMUS, C., UZUN, B. (2020). SSR marker analysis of plant height in sweet sorghum [Sorghum bicolor (L.) Moench]. Mediterranean Agricultural Sciences, Cilt: 33 - Sayı: 3, 405–410. https://ajindex.com/articles/122984

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Almodares A, Mostafafi Darany SM (2006) Effects of planting date and time of nitrogen application on yield and sugar content of sweet sorghum. Journal of Environmental Biology 27: 601-605.
  2. Bai C, Wang C, Zhu Z, Cong L, Li D, Liu Y, Zheng W, Lu X (2017) QTL mapping of agronomically important traits in sorghum (Sorghum bicolor L.). Euphytica 213(285). Bowers JE, Abbey C, Anderson S, Chang C, Draye X, Hoppe AH, Jessup R, Lemke C, Lennington J, Li Z, Lin YR, Liu SC, Luo L, Marler BS, Ming R, Mitchell SE, Qiang D, Reichmann K, Schulze SR, Skinner DN, Wang YW, Kresovich S, Schertz KF, Paterson AH (2003) A high-density genetic recombination map of sequence-tagged sites for sorghum, as a framework for comparative structural and evolutionary genomics of tropical grains and grasses. Genetics 165: 367-386.
  3. Brown PJ, Klein PE, Bortiri E, Acharya CB, Rooney WL, Kresovich S (2006) Inheritance of inflorescence architecture in sorghum. Theoretical and Applied Genetics 113: 931-942.
  4. Brown PJ, Rooney WL, Franks C, Kresovich S (2008) Efficient mapping of plant height quantitative trait loci in a sorghum association population with introgressed dwarfing genes. Genetics 180: 629-637.
  5. Burks PS, Kaiser CM, Hawkins ME, Brown PJ (2015) Genomewide association for sugar yield in sweet sorghum. Crop Science 55: 2138-2148.
  6. Doyle JJ, Doyle JL (1990) A rapid total DNA preparation procedure for fresh plant tissue. Focus 12: 13-15.
  7. Felderhoff TJ, Murray SC, Klein PE, Sharma A, Hamblin MT, Kresovich S, Vermerris W, Rooney WL (2012) QTLs for energy-related traits in a sweet x grain sorghum [Sorghum bicolor (L.) Moench] mapping population. Crop Science 52: 2040-2049.
  8. Feltus FA, Hart GE, Schertz KF, Casa AM, Kresovich S, Abraham S, Klein PE, Brown PJ, Paterson AH (2006) Alignment of genetic maps and QTLs between inter- and intra-specific sorghum populations. Theoretical and Applied Genetics 112: 1295-1305.
  9. Han KJ, Pitman WD, Alison MW, Harrell DL, Viator HP, McCormicks ME, Gravois KA, Kim M, Day DF (2012) Agronomic considerations for sweet sorghum biofuel production in the South-Central USA. Bioenergy Research 5: 748-758.
  10. Han KJ, Pitman WD, Kim M, Day DF, Alison MW, McCormick ME, Aita G (2013) Ethanol production potential of sweet sorghum assessed using forage fiber analysis procedures. GCB Bioenergy 5: 358-366.
  11. Hariprasanna K, Patil JV (2015) Sorghum: Origin, classification, biology and improvement. In: Madhusdhana R, Rajendrakumar P, Patil JV (Eds), Sorghum molecular breeding, Springer, Ind