Research Article
Effects of Donor x Inducer Interaction on the Success of Haploid Induction and Comparison of Haploid Seed Identification Methods in the In vivo Maternal Haploid Technique in Maize
Abstract
This study was conducted to investigate the effect of donor and inducer lines on the haploid induction rate in the in vivo maternal doubled haploid technique in maize and to compare the methods used in haploid seed separation. In the study, three donor materials were used for induction crossing with two inducer lines. Seedling immersion and stem injection techniques were used as chromosome doubling methods. Eye separation, spectral measurements and image processing were used to identify seed classes. Data were modeled using support vector machine method and created models were evaluated over the complexity matrix. The results of the research revealed that the haploid induction rate varies depending on the donor genotypes and inducers, and the genotype responses against the applied chromosome doubling method were also different. Differences were observed in the success of the three methods compared for haploid and diploid seed separation. The successful classification rates were 87%, 83%, and 79% in visual, spectral and image processing models, respectively. Results showed that both spectral technique and image processing technique can be used to distinguish haploid/diploid seeds in in vivo maternal haploid technique.
Supporting Institution
TÜBİTAK
Project Number
119O619
Thanks
This work was supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) (Project number: 119O619). The authors thank TÜBİTAK for their financial support.
References
- Altuntaş Y, Cömert Z & Kocamaz AF (2019). Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach. Computers and Electronics in Agriculture 163: 1-11.
- Altuntaş Y, Kocamaz AF, Cengiz R & Esmeray M (2018). Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines. In 2018 26th Signal Processing and Communications Applications Conference (SIU) p. 1-4.
- Altuntaş Y & Kocamaz AF (2019). Renk momentleri ve destek vektör makineleri kullanarak haploid mısır tohumlarının tanımlanmasında renk uzaylarının sınıflandırma performansına etkisinin karşılaştırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi 31(2): 551-560.
- Cerit İ, Cömertpay G, Oyucu R, Çakır B, Hatipoğlu R & Özkan H (2016). Melez mısır ıslahında in-vivo katlanmış haploid tekniğinde kullanılan farklı inducer genotiplerin haploid indirgeme oranların belirlenmesi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi 25: 52-57.
- Chaikam V, Molenaar W, Melchinger AE & Boddupalli, PM (2019). Doubled haploid technology for line development in maize: technical advances and prospects. TAG. Theoretical and applied genetics. 132(12), 3227–3243.
- Chalky ST (1994). Properties of maternal haploid maize plants and potential application to maize breeding. Euphytica 79: 13-18
- Chidzanga C, Muzawazi F, Midzi J & Hove T (2017). Production and use of haploids and doubled haploid in maize breeding: A review. African Journal of Plant Breeding 4: 201-213.
- Choe EH (1959). A line of maize with high haploid frequency. American Naturalist 93:3 81–382.
- Choe E, Carbonero CH, Mulvaney K, Rayburn AL & Muhm RH (2012). Improving in vivo maize doubled haploid production efficiency through early detection of false positives. Plant Breeding 131: 399-401.
- Cui Y, Ge W, Li J, Zhang J, An D & Wei Y (2019). Screening of maize haploid kernels based on near infrared spectroscopy quantitative analysis. Computers and Electronics in Agriculture 158: 358-368.
- Dang NC, Munsch M, Aulinger I, Renlai W & Stamp P (2012). Inducer line generated double haploid seeds for combined waxy and opaque 2 grain quality in subtropical maize (Zea mays. L.). Euphytica 183(2): 153-160.
- Eder J and Chalyk S (2002). In vivo haploid induction in maize. Theoretical and Applied Genetics 104(4): 703-708.
- Hallauer AR, Carena MJ & Miranda FJB (2010). Quantitative Genetics in Maize Breeding. Springer New York.
- Jones RW, Reniot T, Frei UK, Tseng Y, Lubberstedt T & Mcclelland JF (2012). Selection of haploid maize kernels from hybrid kernels for plant breeding using near infrared spectroscopy and SIMCA analysis. Applied Spectroscopy 66: 447-450.
- Kahrıman F (2016). Mısırda Polen Etkisi ve Bu Etkinin Kontrolünde Uygulanan Yöntemler. Lambert Academic Publishing Saarbrücken, Almanya.
- Lin J, Yu L, Li W & Qin H (2017). Method for identifying maize haploid seeds by applying diffuse transmission near-infrared spectroscopy. Applied Spectroscopy 72(4): 611-617.
- Liu WJ, Li WJ, Li HG, Qin H & Ning X (2017). Research on the method of identifying maize haploid based on KPCA and near infrared spectrum. Spectroscopy and Spectral Analysis 37(7): 2024-2027.
- Melchinger AE, Schipprack W, Würschum T, Chen S &Technow F (2013). Rapid and accurate identification of in vivo-induced haploid seeds based on oil content in maize. Scientific Reports 3: 2129.
- Melchinger AE Schipprack W, Utz HF & Mirdita V (2014) In vivo haploid induction in maize: identification of haploid seeds by their oil content. Crop Science 54: 1-8.
- Prasanna BM, Chaikam V & Mahuku G (2012). Doubled haploid technology in maize breeding: theory and practice. CIMMYT.
- Prigge V, Schipprack W, Mahuku G, Atlin GN & Melchinger AE (2012). Development of in vivo haploid inducers for tropical maize breeding programs. Euphytica 185(3): 481-490.
- R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.
- Röber FK, Gordillo GA & Geiger HH (2005). In vivo haploid induction in maize-performance of new inducers and significance of doubled haploid lines in hybrid breeding. Maydica 50: 275–283.
- Vanous K, Vanous A, Frei UK & Lübberstedt T (2017). Generation of maize (Zea mays) doubled haploids via traditional methods. Current Protocols in Plant Biology 2(2): 147-157.
- Veeramani B, Raymond JW & Chanda P (2018). DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinformatics 19(9): 289.
- Zabirova ER, Chumak MV, Shatskaia OA & Scherbak VS (1996). Technology of the mass accelerated production of homozygous lines (in Russian). Kukuruza Sorgo 4: 17-19.
- Zararsız D, Öztürk L, Yanıkoğlu S, Turgut I, Kizik S & Bilgin B (2019). Production of double haploid plants using in vivo haploid techniques in corn. Journal of Agricultural Sciences 25(1): 62-69.
- Zhang J, Wu Z, Song P, Li W, Chen S & Liu J (2013). Embryo feature extraction and dynamic recognition method for maize haploid seeds. Transactions of the Chinese Society of Agricultural Engineering 29(4): 199-203.
Year 2022,
Volume: 28 Issue: 3, 385 - 395, 05.09.2022
Abstract
Project Number
119O619
References
- Altuntaş Y, Cömert Z & Kocamaz AF (2019). Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach. Computers and Electronics in Agriculture 163: 1-11.
- Altuntaş Y, Kocamaz AF, Cengiz R & Esmeray M (2018). Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines. In 2018 26th Signal Processing and Communications Applications Conference (SIU) p. 1-4.
- Altuntaş Y & Kocamaz AF (2019). Renk momentleri ve destek vektör makineleri kullanarak haploid mısır tohumlarının tanımlanmasında renk uzaylarının sınıflandırma performansına etkisinin karşılaştırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi 31(2): 551-560.
- Cerit İ, Cömertpay G, Oyucu R, Çakır B, Hatipoğlu R & Özkan H (2016). Melez mısır ıslahında in-vivo katlanmış haploid tekniğinde kullanılan farklı inducer genotiplerin haploid indirgeme oranların belirlenmesi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi 25: 52-57.
- Chaikam V, Molenaar W, Melchinger AE & Boddupalli, PM (2019). Doubled haploid technology for line development in maize: technical advances and prospects. TAG. Theoretical and applied genetics. 132(12), 3227–3243.
- Chalky ST (1994). Properties of maternal haploid maize plants and potential application to maize breeding. Euphytica 79: 13-18
- Chidzanga C, Muzawazi F, Midzi J & Hove T (2017). Production and use of haploids and doubled haploid in maize breeding: A review. African Journal of Plant Breeding 4: 201-213.
- Choe EH (1959). A line of maize with high haploid frequency. American Naturalist 93:3 81–382.
- Choe E, Carbonero CH, Mulvaney K, Rayburn AL & Muhm RH (2012). Improving in vivo maize doubled haploid production efficiency through early detection of false positives. Plant Breeding 131: 399-401.
- Cui Y, Ge W, Li J, Zhang J, An D & Wei Y (2019). Screening of maize haploid kernels based on near infrared spectroscopy quantitative analysis. Computers and Electronics in Agriculture 158: 358-368.
- Dang NC, Munsch M, Aulinger I, Renlai W & Stamp P (2012). Inducer line generated double haploid seeds for combined waxy and opaque 2 grain quality in subtropical maize (Zea mays. L.). Euphytica 183(2): 153-160.
- Eder J and Chalyk S (2002). In vivo haploid induction in maize. Theoretical and Applied Genetics 104(4): 703-708.
- Hallauer AR, Carena MJ & Miranda FJB (2010). Quantitative Genetics in Maize Breeding. Springer New York.
- Jones RW, Reniot T, Frei UK, Tseng Y, Lubberstedt T & Mcclelland JF (2012). Selection of haploid maize kernels from hybrid kernels for plant breeding using near infrared spectroscopy and SIMCA analysis. Applied Spectroscopy 66: 447-450.
- Kahrıman F (2016). Mısırda Polen Etkisi ve Bu Etkinin Kontrolünde Uygulanan Yöntemler. Lambert Academic Publishing Saarbrücken, Almanya.
- Lin J, Yu L, Li W & Qin H (2017). Method for identifying maize haploid seeds by applying diffuse transmission near-infrared spectroscopy. Applied Spectroscopy 72(4): 611-617.
- Liu WJ, Li WJ, Li HG, Qin H & Ning X (2017). Research on the method of identifying maize haploid based on KPCA and near infrared spectrum. Spectroscopy and Spectral Analysis 37(7): 2024-2027.
- Melchinger AE, Schipprack W, Würschum T, Chen S &Technow F (2013). Rapid and accurate identification of in vivo-induced haploid seeds based on oil content in maize. Scientific Reports 3: 2129.
- Melchinger AE Schipprack W, Utz HF & Mirdita V (2014) In vivo haploid induction in maize: identification of haploid seeds by their oil content. Crop Science 54: 1-8.
- Prasanna BM, Chaikam V & Mahuku G (2012). Doubled haploid technology in maize breeding: theory and practice. CIMMYT.
- Prigge V, Schipprack W, Mahuku G, Atlin GN & Melchinger AE (2012). Development of in vivo haploid inducers for tropical maize breeding programs. Euphytica 185(3): 481-490.
- R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.
- Röber FK, Gordillo GA & Geiger HH (2005). In vivo haploid induction in maize-performance of new inducers and significance of doubled haploid lines in hybrid breeding. Maydica 50: 275–283.
- Vanous K, Vanous A, Frei UK & Lübberstedt T (2017). Generation of maize (Zea mays) doubled haploids via traditional methods. Current Protocols in Plant Biology 2(2): 147-157.
- Veeramani B, Raymond JW & Chanda P (2018). DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinformatics 19(9): 289.
- Zabirova ER, Chumak MV, Shatskaia OA & Scherbak VS (1996). Technology of the mass accelerated production of homozygous lines (in Russian). Kukuruza Sorgo 4: 17-19.
- Zararsız D, Öztürk L, Yanıkoğlu S, Turgut I, Kizik S & Bilgin B (2019). Production of double haploid plants using in vivo haploid techniques in corn. Journal of Agricultural Sciences 25(1): 62-69.
- Zhang J, Wu Z, Song P, Li W, Chen S & Liu J (2013). Embryo feature extraction and dynamic recognition method for maize haploid seeds. Transactions of the Chinese Society of Agricultural Engineering 29(4): 199-203.
There are 28 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Makaleler |
| Authors | |
| Project Number | 119O619 |
| Publication Date | September 5, 2022 |
| Submission Date | November 10, 2020 |
| Acceptance Date | June 20, 2021 |
| Published in Issue | Year 2022 Volume: 28 Issue: 3 |
Cite
Journal of Agricultural Sciences is published open access journal. All articles are published under the terms of the Creative Commons Attribution License (CC BY).