By Yared Assefa
Corn and grain sorghum (Sorghum bicolor subsp. bicolor L) are one of the best cereal plants all over the world, and either are key for worldwide meals protection. Similarities among the 2 vegetation, quite their variation for warm-season grain construction, pose a chance for comparisons to notify applicable cropping judgements. This ebook offers a complete assessment of the similarities and changes among corn and grain sorghum. It compares corn and sorghum plants in components similar to morphology, body structure, phenology, yield, source use and potency, and impression of either plants in several cropping structures.
Producers, researchers and extension brokers looking for trustworthy clinical information will locate this in-depth comparability of vegetation with strength slot in dryland and irrigations cropping platforms rather valuable.
- Presents quite a lot of issues of comparison
- Offers vital insights for crop selection making
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Extra info for Corn and Grain Sorghum Comparison
Results show that irrigated corn yields historically have been superior to dryland corn and irrigated or dryland sorghum in almost every district of Kansas. The gap between irrigated corn yields and other yields has increased in the study’s time period, and this result is similar to the report by Assefa et al. (2012), which used data from Kansas Corn Performance Trials. Therefore, if yield were the only measure, irrigated corn is the most productive. Comparisons of dryland corn and sorghum yields indicate that dryland corn yields have been superior in the eastern part of Kansas in recent decades.
Yield cutoff values for corn and sorghum will be discussed in detail in Chapter 6. 9) can be used to determine cropping decisions for irrigated and dryland corn and sorghum. 5 Mg ha21 can be used as the cutoff point. 5 Mg ha21 or less, dryland sorghum might be the best choice, but corn will be the best choice with greater expected yields. 5 Mg ha21 in the early twenty-first century, respectively (USDA National Agricultural Statistical Service, 2009). , 1984). Eghball and Power (1995) reported a sixfold yield increase for corn from 1930 to 1990.
For the combined dryland data; yield was equated to N rate plus hybrid in the model statement, where hybrid was the independent variable and N rate was covariate. The resulting least-square means from this analysis were used to regress for the contribution of increasing nitrogen levels for yield increase. To determine whether the yield response in dryland sites was influenced by precipitation; prior planting and in season, or temperature changes, the total monthly precipitation data for November, December, January, February, March, and April, and both total monthly precipitation and mean monthly temperature data for May, June, July, August, and September were analyzed using the PROC CORR procedure of SAS.