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Journal articles on the topic 'Crop improvement'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Choudhary, Mukesh, Vishal Singh, Vignesh Muthusamy, and Shabir Hussain Wani. "Harnessing Crop Wild Relatives for Crop Improvement." LS: International Journal of Life Sciences 6, no. 2 (2017): 73. http://dx.doi.org/10.5958/2319-1198.2017.00009.4.

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2

Merchán, Kelly. "Crop Improvement ≠ Plant Breeding." CSA News 66, no. 5 (2021): 28–31. http://dx.doi.org/10.1002/csan.20445.

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3

CLEGG, MICHAEL T. "Genetics of Crop Improvement." American Zoologist 26, no. 3 (1986): 821–34. http://dx.doi.org/10.1093/icb/26.3.821.

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4

Gosal, Satbir S., Shabir H. Wani, and Manjit S. Kang. "Biotechnology and Crop Improvement." Journal of Crop Improvement 24, no. 2 (2010): 153–217. http://dx.doi.org/10.1080/15427520903584555.

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5

Evans, Adrian. "Innovations in crop improvement." Crop Protection 12, no. 3 (1993): 237. http://dx.doi.org/10.1016/0261-2194(93)90116-z.

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6

Smith, Steven M. "Crop improvement utilizing biotechnology." Agricultural Systems 36, no. 2 (1991): 246–47. http://dx.doi.org/10.1016/0308-521x(91)90032-6.

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7

Praveen Rao, V. "Breeding for Crop Improvement." Current Science 114, no. 02 (2018): 256. http://dx.doi.org/10.18520/cs/v114/i02/256-257.

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8

Springer, Nathan M. "Epigenetics and crop improvement." Trends in Genetics 29, no. 4 (2013): 241–47. http://dx.doi.org/10.1016/j.tig.2012.10.009.

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9

Ramulu, K. S., V. K. Sharma, T. N. Naumova, P. Dijkhuis, and M. M. van Lookeren Campagne. "Apomixis for crop improvement." Protoplasma 208, no. 1-4 (1999): 196–205. http://dx.doi.org/10.1007/bf01279090.

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10

Sourdille, Pierre, and Pierre Devaux. "Crop Improvement: Now and Beyond." Biology 10, no. 5 (2021): 421. http://dx.doi.org/10.3390/biology10050421.

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11

Singh, Arvinder, and Muskan Bokolia. "CRISPR/Cas for Crop Improvement." Resonance 26, no. 2 (2021): 227–40. http://dx.doi.org/10.1007/s12045-021-1121-4.

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12

Shigeoka, S. "Transgenic approaches to crop improvement." Japanese journal of crop science 71, Supplement2 (2002): 318–21. http://dx.doi.org/10.1626/jcs.71.supplement2_318.

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13

Lai, Kaitao, Michał T. Lorenc, and David Edwards. "Genomic Databases for Crop Improvement." Agronomy 2, no. 1 (2012): 62–73. http://dx.doi.org/10.3390/agronomy2010062.

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14

Cody, Jon, Nathan Swyers, Morgan McCaw, Nathaniel Graham, Changzeng Zhao, and James Birchler. "Minichromosomes: Vectors for Crop Improvement." Agronomy 5, no. 3 (2015): 309–21. http://dx.doi.org/10.3390/agronomy5030309.

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15

Shen, Lisha, and Hao Yu. "Epitranscriptome engineering in crop improvement." Molecular Plant 14, no. 9 (2021): 1418–20. http://dx.doi.org/10.1016/j.molp.2021.08.006.

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16

Kumari, Rima. "Allele Mining for Crop Improvement." International Journal of Pure & Applied Bioscience 6, no. 1 (2018): 1456–65. http://dx.doi.org/10.18782/2320-7051.6073.

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17

Bevan, Michael W., Cristobal Uauy, Brande B. H. Wulff, Ji Zhou, Ksenia Krasileva, and Matthew D. Clark. "Genomic innovation for crop improvement." Nature 543, no. 7645 (2017): 346–54. http://dx.doi.org/10.1038/nature22011.

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18

Evans, L. T. "Is Crop Improvement Still Needed?" Journal of Crop Improvement 14, no. 1-2 (2005): 1–7. http://dx.doi.org/10.1300/j411v14n01_01.

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19

Sneller, Clay H., Randall L. Nelson, T. E. Carter, and Zhanglin Cui. "Genetic Diversity in Crop Improvement." Journal of Crop Improvement 14, no. 1-2 (2005): 103–44. http://dx.doi.org/10.1300/j411v14n01_06.

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20

Zhang, Jingyu, Xin-Min Li, Hong-Xuan Lin, and Kang Chong. "Crop Improvement Through Temperature Resilience." Annual Review of Plant Biology 70, no. 1 (2019): 753–80. http://dx.doi.org/10.1146/annurev-arplant-050718-100016.

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Abnormal environmental temperature affects plant growth and threatens crop production. Understanding temperature signal sensing and the balance between defense and development in plants lays the foundation for improvement of temperature resilience. Here, we summarize the current understanding of cold signal perception/transduction as well as heat stress response. Dissection of plant responses to different levels of cold stresses (chilling and freezing) illustrates their common and distinct signaling pathways. Axillary bud differentiation in response to chilling is presented as an example of th

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21

Brennan, Charles. "Concise Encyclopaedia of Crop Improvement." International Journal of Food Science & Technology 44, no. 10 (2009): 2085. http://dx.doi.org/10.1111/j.1365-2621.2008.01771.x.

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22

Gepts, Paul. "Biocultural diversity and crop improvement." Emerging Topics in Life Sciences 7, no. 2 (2023): 151–96. http://dx.doi.org/10.1042/etls20230067.

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Biocultural diversity is the ever-evolving and irreplaceable sum total of all living organisms inhabiting the Earth. It plays a significant role in sustainable productivity and ecosystem services that benefit humanity and is closely allied with human cultural diversity. Despite its essentiality, biodiversity is seriously threatened by the insatiable and inequitable human exploitation of the Earth's resources. One of the benefits of biodiversity is its utilization in crop improvement, including cropping improvement (agronomic cultivation practices) and genetic improvement (plant breeding). Crop

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23

Parry, M. A. J., P. J. Madgwick, C. Bayon, et al. "Mutation discovery for crop improvement." Journal of Experimental Botany 60, no. 10 (2009): 2817–25. http://dx.doi.org/10.1093/jxb/erp189.

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24

Burgess, Darren J. "Branching out for crop improvement." Nature Reviews Genetics 18, no. 7 (2017): 393. http://dx.doi.org/10.1038/nrg.2017.48.

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25

Martin, Gregory B. "Gene discovery for crop improvement." Current Opinion in Biotechnology 9, no. 2 (1998): 220–26. http://dx.doi.org/10.1016/s0958-1669(98)80119-5.

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26

Dunwell, Jim M. "Transgenic approaches to crop improvement." Journal of Experimental Botany 51, suppl_1 (2000): 487–96. http://dx.doi.org/10.1093/jexbot/51.suppl_1.487.

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27

Verhage, Leonie. "The colour of crop improvement." Plant Journal 103, no. 6 (2020): 1965–66. http://dx.doi.org/10.1111/tpj.14971.

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28

Rafalski, Antoni. "Molecular techniques in crop improvement." Plant Science 163, no. 6 (2002): 1177. http://dx.doi.org/10.1016/s0168-9452(02)00330-8.

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29

Brown, D. C. W., and T. A. Thorpe. "Crop improvement through tissue culture." World Journal of Microbiology & Biotechnology 11, no. 4 (1995): 409–15. http://dx.doi.org/10.1007/bf00364616.

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30

Rafalski, J. Antoni. "Association genetics in crop improvement." Current Opinion in Plant Biology 13, no. 2 (2010): 174–80. http://dx.doi.org/10.1016/j.pbi.2009.12.004.

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31

Varshney, Rajeev K., Pallavi Sinha, Vikas K. Singh, Arvind Kumar, Qifa Zhang, and Jeffrey L. Bennetzen. "5Gs for crop genetic improvement." Current Opinion in Plant Biology 56 (August 2020): 190–96. http://dx.doi.org/10.1016/j.pbi.2019.12.004.

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32

Kerchev, Pavel, Barbara De Smet, Cezary Waszczak, Joris Messens, and Frank Van Breusegem. "Redox Strategies for Crop Improvement." Antioxidants & Redox Signaling 23, no. 14 (2015): 1186–205. http://dx.doi.org/10.1089/ars.2014.6033.

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33

St. Martin, S. K. "Plant Adaption and Crop Improvement." Crop Science 38, no. 1 (1998): 274–75. http://dx.doi.org/10.2135/cropsci1998.0011183x003800010047x.

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34

Lin, Rongshuang. "Concise Encyclopedia of Crop Improvement." Journal of Environmental Quality 38, no. 3 (2009): 1329. http://dx.doi.org/10.2134/jeq2008.0023br.

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35

Hussain,, G., M. S. Wani,, M. A. Mir,, Z. A. Rather, and K. M. Bhat,. "Micrografting for fruit crop improvement." African Journal of Biotechnology 13, no. 25 (2014): 2474–83. http://dx.doi.org/10.5897/ajb2013.13602.

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36

Heffner, Elliot L., Mark E. Sorrells, and Jean-Luc Jannink. "Genomic Selection for Crop Improvement." Crop Science 49, no. 1 (2009): 1–12. http://dx.doi.org/10.2135/cropsci2008.08.0512.

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37

GOODMAN, R. M., H. HAUPTLI, A. CROSSWAY, and V. C. KNAUF. "Gene Transfer in Crop Improvement." Science 236, no. 4797 (1987): 48–54. http://dx.doi.org/10.1126/science.236.4797.48.

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38

Sane, P. V., and U. C. Lavania. "Innovative Approaches to Crop Improvement." Proceedings of the Indian National Science Academy 80, no. 1 (2014): 17. http://dx.doi.org/10.16943/ptinsa/2014/v80i1/55082.

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39

McCouch, Susan. "Wild Alleles for Crop Improvement." Nature Biotechnology 17, S5 (1999): 32. http://dx.doi.org/10.1038/70392.

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40

Pauls, K. P. "Plant biotechnology for crop improvement." Biotechnology Advances 13, no. 4 (1995): 673–93. http://dx.doi.org/10.1016/0734-9750(95)02010-1.

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41

Cramer, Rainer, Laurence Bindschedler, and Ganesh Agrawal. "Plant Proteomics in Crop Improvement." PROTEOMICS 13, no. 12-13 (2013): 1771. http://dx.doi.org/10.1002/pmic.201370104.

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42

Cortés, Andrés J., María Ángeles Castillejo, and Roxana Yockteng. "‘Omics’ Approaches for Crop Improvement." Agronomy 13, no. 5 (2023): 1401. http://dx.doi.org/10.3390/agronomy13051401.

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43

Murín, Gustáv, and Karol Mičieta. "Improvement of Crop Production by Means of a Storage Effect." International Journal of Environmental and Agriculture Research 3, no. 5 (2017): 12–25. http://dx.doi.org/10.25125/agriculture-journal-ijoear-apr-2017-26.

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44

Goldman, I. L. "Principles of Crop Improvement. 2nd ed." HortTechnology 10, no. 3 (2000): 638b—640. http://dx.doi.org/10.21273/horttech.10.3.638b.

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45

Ward, Richard W. "Principles of Crop Improvement, 2nd Edition." Crop Science 40, no. 2 (2000): 562–63. http://dx.doi.org/10.2135/cropsci2000.0006br.

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46

Kim, Hyeran, Sang-Tae Kim, Sang-Gyu Kim, and Jin-Soo Kim. "Targeted Genome Editing for Crop Improvement." Plant Breeding and Biotechnology 3, no. 4 (2015): 283–90. http://dx.doi.org/10.9787/pbb.2015.3.4.283.

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47

Messina, Carlos D., Fred van Eeuwijk, Tom Tang, et al. "Crop Improvement for Circular Bioeconomy Systems." Journal of the ASABE 65, no. 3 (2022): 491–504. http://dx.doi.org/10.13031/ja.14912.

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HighlightsWe describe and demonstrate a multidimensional framework to integrate environmental and genomic predictors to enable crop improvement for a circular bioeconomy.A model training procedure based on multiple phenotypes is shown to improve predictive skill.The decision set comprised of model outputs can inform selection for both productivity and circularity metrics.Abstract. Contemporary agricultural systems are poised to transition from linear to circular, adopting concepts of recycling, repurposing, and regeneration. This transition will require changing crop improvement objectives to

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48

Messina, Carlos D., Fred van Eeuwijk, Tom Tang, et al. "Crop Improvement for Circular Bioeconomy Systems." Journal of the ASABE 65, no. 3 (2022): 491–504. http://dx.doi.org/10.13031/ja.14912.

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HighlightsWe describe and demonstrate a multidimensional framework to integrate environmental and genomic predictors to enable crop improvement for a circular bioeconomy.A model training procedure based on multiple phenotypes is shown to improve predictive skill.The decision set comprised of model outputs can inform selection for both productivity and circularity metrics.Abstract. Contemporary agricultural systems are poised to transition from linear to circular, adopting concepts of recycling, repurposing, and regeneration. This transition will require changing crop improvement objectives to

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49

Temesgen, Begna. "Speed breeding to accelerate crop improvement." International Journal of Agricultural Science and Food Technology 8, no. 2 (2022): 178–86. http://dx.doi.org/10.17352/2455-815x.000161.

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Global food security has become a major issue as the human population grows and the environment changes, with the current rate of improvement of several important crops inadequate to meet future demand. Crop plants have extended generation times, which contributes to the slow rate of progress. However, speed breeding has revolutionized the entire world by reducing generation time and speeding up breeding and research programs to improve crop varieties. In the absence of an integrated pre-breeding program, breeding new and high-performing cultivars with market-preferred traits can take more tha

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50

Soriano, Jose Miguel. "Molecular Marker Technology for Crop Improvement." Agronomy 10, no. 10 (2020): 1462. http://dx.doi.org/10.3390/agronomy10101462.

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Since the 1980s, agriculture and plant breeding have changed with the development of molecular marker technology. In recent decades, different types of molecular markers have been used for different purposes: mapping, marker-assisted selection, characterization of genetic resources, etc. These have produced effective genotyping, but the results have been costly and time-consuming, due to the small number of markers that could be tested simultaneously. Recent advances in molecular marker technologies such as the development of high-throughput genotyping platforms, genotyping by sequencing, and

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