查詢結果分析
來源資料
相關文獻
- 種子水分含量下降速率之探討
- Effect of Varietal Difference, Temperature, Shading and Plant Age on SO[feaf]Sensitivity Among Rice, Corn and Soybean Plants
- 作物對鏈黴素的感受程度與幼苗生長在不同環境適應性之關係
- Varietal Sensitivities of Rice, Soybean and Corn to Sulfur Dioxide
- 雲嘉南地區稻田耕作制度之研究
- 新輪作制度--早春大豆、玉米中間作水稻
- 引起營養學家關注的新型飼料原料
- 低蛋白質之玉米﹣﹣大豆粕飼糧添加胺基酸的飼豬效果
- 以玉米、大豆餅粉、乳清粉為基礎的低蛋白質仔豬日糧中氨基酸之限制性次序
- Modification of Henderson's EMC Model and EMC Isotherms of Local Paddy and Corn
頁籤選單縮合
題 名 | 種子水分含量下降速率之探討=Studies on the Reducing Ratio of Seed Moisture Content in the Dry Room of NPGRC |
---|---|
作 者 | 范明仁; 魏趨開; 許庭榮; 黃宜玫; | 書刊名 | 中華農業研究 |
卷 期 | 47:1 1998.03[民87.03] |
頁 次 | 頁28-53 |
分類號 | 434.28 |
關鍵詞 | 水稻; 玉米; 大豆; 種子含水率; 乾燥室; 含水率下降迴歸曲線; Rice; Corn; Soybean; Seed moisture content; The drying room; Reducing regression curve of seed moisture content; |
語 文 | 中文(Chinese) |
中文摘要 | 於農業試驗所國家作物種原中心之乾燥室內(溫度18~20℃,RH8~10%)進行水稻 、玉米、大豆、落花生、田菁、油菜、類地毯草和胡麻等作物種子水分含量下降曲線模式 的推測,結果以對數方程式y=a+b ln(x)為迴歸曲線時(其中x為乾燥日數,y為種子含水率 ,a為截距,b為迴歸係數),可發現利用實測值所推算之迴歸曲線之迴歸係數皆為極顯著 ,且決定係數R□>0.8,證明可以利用此形式迴歸曲線來估算種子含水率在種原中心乾燥 室環境下之下降情形。另外,亦採用目前種原中心儲藏數量最多的三種作物一水稻、玉米 和大豆為試驗材料,來推算種子含水率的對數迴歸曲線,進而以統計分析來檢定同一作物 各晶種間可否合併為一條迴歸曲線來表示。根據試驗結果可知,當種子初始含水率為12% 時水相供試晶種中秈稻、長粒秈糯、圓秈糯、梗糯和陸稻可以合併為一含水率下降迴歸曲 線:y=9.1555-1.1898 ln(x),R□=0.9826,而梗稻則可合併成另一含水率下降迴歸曲線 :y=9.5761-1.12681 ln(x),R□=0.9912。故迴歸曲線合併與否,可能和水稻品種間種 原分類和種子化學成分有關。當種子初始含水率為16%時,玉米所有供試品種可合併為一 含水率下降迴歸曲線:y=11.302-1.7182 ln(x),R□=0.9807。就玉米而言,種子水分含 量之下降與品種特性無關。當種子初始含水率為14%時,大豆供試品種百粒重5.50~19. 11g間可合併為一含水率下降迥歸曲線:y=6.8808-1.1378 ln(x),R□=0.9061,而百粒 重5.509以下則可獨自形成一含水率下降迴歸曲線:y=7.3667-0.6969 ln(x),R□=0. 8439。此外,百粒重19.11g以上亦可獨自形成另一含水率下降迴歸曲線:y=9.4171-1. 7004 ln(x),R□=0.9376,由此可見種子百粒重會影響大豆品種間含水率下降迴歸曲線 可否合併之現象。 |
英文摘要 | Eight crops of species, including rice, corn, soybean, peanut, sesbania, rape, carpetgrass and sesame, were used to conduct the conjecture of the reducing curve model of seed moisture content in the seed drying room of NPGRC of TARI(T:18-20'C, RH:8-10%). We found that the regression curves using logarithmic equation (y=a+bin(x);x:treatment duration in days, y: seed moisture content, a: intercept, b: regression coefficient)were very significantly related to the regression coefficients of the actually investigated curves and these coefficients of determination (R) were higher than 0.8. The results indicated it to be correct that the reducing ratio of seed moisture content in the drying room of NPGRC can be estimated by the logarithmic model of regression curves. In addition, we also used 3 crops as experimental materials, containing rice, corn and soybean, which represented the most numerous accessions stored in NPGRC. The purposes of this experiment were to appraise the logarithmic regression curves of seed moisture content and to examine these regression curves among varieties of the same crop to see whether different varieties of a crop can be combined to an average regression curve or not. According to the results, when the moisture content of treated seed is 12%, the test varieties of rice, including Indica-type rice, glutinous Indica-type rice of long shape, glutinous Indica- type rice of round shape, glutinous Japonica- type rice and upland rice, could be combined to be a regression curve of seed moisture content: Y=9.1555-1.1898 ln(x), R□=0. 9826. Another combined regression curve of seed moisture content, Y=9.5751-1. 2581 ln(x), R□=0.9912, was composed of Japonica-type rice. Consequently, the question of whether their regression curves can be combined is related to Japanica type or Indica type or their seed chemical component. The test varieties of corn used in the assay, the moisture content of seed could combine to be a regression curve as follow: y = 11.302-1.7182 ln(x), R□ = 0.9807(i.m.c. = 16%). Thus, the moisture content reducing ratio of different varieties of corn appears to be the same. In the test varieties of soybean, which the 100-grain weight are 5.50g to 19.llg could combine to be treated as a group and the regression curve of seed moisture content is: Y=6.8808-1. 1373 ln(x), R□=0.9061(i.m.c.=14%). The variety of 100-grain weight under 5. 50g had its own reducing regression curve of seed moisture content: y=7.3667- 0.6959 ln(x), R□=0.8439. In addition, the variety of 100-grain weight above 19.llg also formed to be another own reducing regression curve of seed moisture content: y=9.4171- 1.7004 ln(x), R□=0.9376. Therefore, 100-grain weight of seeds of soybean varieties shall influence whether these reducing regression curves of seed moisture content can be combined or not. |
本系統中英文摘要資訊取自各篇刊載內容。