Modern Breeding Approaches for Climate Change

Afzal, Sadia; Mubeen, Muhammad; Hussain, Sajjad; Ali, Mazhar; Javeed, Hafiz Muhammad Rashad; Al-Ashkar, Ibrahim; Soufan, Walid; Pandey, Saurabh; Islam, Mohammad Sohidul; Sabagh, Ayman El; Jatoi, Wajid Nasim

doi:10.1007/978-3-031-26692-8_17

Cited by 7 publications

(1 citation statement)

References 55 publications

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“…We have already entered into the early stage of Breeding 4.0 in rice and corn after years of development, however for sugarcane breeding, it is still at the stage of transition from conventional breeding (Breeding 2.0) to molecular breeding (Breeding 3.0) or their combination, largely lagging behind the main crops (Cursi et al, 2022a;Ram et al, 2022;Afzal et al, 2023;Azim et al, 2024;Qi et al, 2024). The major challenges in sugarcane breeding globally today are: (1) The narrow genetic base of modern varieties, with 78-80% of their genomes derived from S. officinarum and 10-20% from S. spontaneum, resulting in a serious lack of genetic variation in breeding populations, and limiting the effectiveness of varietal improvement (Piperidis et al, 2010).…”

Section: Challenges For Sugarcane Breedingmentioning

confidence: 99%

Sugarcane breeding: a fantastic past and promising future driven by technology and methods

Lu,

Liu,

et al. 2024

Front. Plant Sci.

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Sugarcane is the most important sugar and energy crop in the world. During sugarcane breeding, technology is the requirement and methods are the means. As we know, seed is the cornerstone of the development of the sugarcane industry. Over the past century, with the advancement of technology and the expansion of methods, sugarcane breeding has continued to improve, and sugarcane production has realized a leaping growth, providing a large amount of essential sugar and clean energy for the long-term mankind development, especially in the face of the future threats of world population explosion, reduction of available arable land, and various biotic and abiotic stresses. Moreover, due to narrow genetic foundation, serious varietal degradation, lack of breakthrough varieties, as well as long breeding cycle and low probability of gene polymerization, it is particularly important to realize the leapfrog development of sugarcane breeding by seizing the opportunity for the emerging Breeding 4.0, and making full use of modern biotechnology including but not limited to whole genome selection, transgene, gene editing, and synthetic biology, combined with information technology such as remote sensing and deep learning. In view of this, we focus on sugarcane breeding from the perspective of technology and methods, reviewing the main history, pointing out the current status and challenges, and providing a reasonable outlook on the prospects of smart breeding.

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Section: Challenges For Sugarcane Breedingmentioning

confidence: 99%

Sugarcane breeding: a fantastic past and promising future driven by technology and methods

Lu,

Liu,

et al. 2024

Front. Plant Sci.

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Spatio-Temporal Analysis of Vegetation Loss, Land Surface Temperature Changes, and Their Relationship with Vegetation Indices in Zhenjiang, China Using Satellite Imagery

Hu,

Raza,

et al. 2024

Earth Syst Environ

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Land use/land change detection and determination of land surface temperature variation in green belt (Nasirabad) district of Balochistan, Pakistan

Raza,

Syed,

Fahmeed

et al. 2023

SN Appl. Sci.

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The current study determined the changes in Land Use/Land Change (LU/LC) and variation in land surface temperature (LST) in the Green Belt (Nasirabad district) area of Balochistan, Pakistan. To achieve this, we used GIS software (ArcMap 10.7.1) to analyze remote sensing data acquired from Landsat imagery taken in 1993, 2003, 2013, and 2023. A supervised classification technique using the maximum likelihood algorithm (MLC) was applied to generate a ground-truth LU/LC classification. Based on our findings, almost 415.28 km2 (− 12.89%) of formerly undeveloped land has been transformed into urban neighborhoods and green spaces during the last three decades. Between 1993 and 2023, the study area gained 288.29 km2 (8.94%) of vegetation and 136.10 km2 (4.22%) of settled land. Minimum, maximum, and average LST changes were recorded as 7.50, − 5.06, and 1.22 °C for the whole thirty years. Overall, the analysis data showed that an increase in human settlements in the area investigated led to a rise in mean LST (1.22 °C). Finally, GIS and RS may be used together to track land usage over time, a crucial piece of data for eco-friendly planning. While the LU/LC and LST provide valuable insights into the rational and optimal use of land resources, the implications of policy remain constrained.

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Modern Breeding Approaches for Climate Change

Cited by 7 publications

References 55 publications

Sugarcane breeding: a fantastic past and promising future driven by technology and methods

Sugarcane breeding: a fantastic past and promising future driven by technology and methods

Spatio-Temporal Analysis of Vegetation Loss, Land Surface Temperature Changes, and Their Relationship with Vegetation Indices in Zhenjiang, China Using Satellite Imagery

Land use/land change detection and determination of land surface temperature variation in green belt (Nasirabad) district of Balochistan, Pakistan

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