背景:扁豆是一种重要的豆类,可作为主食食用,并在世界范围内产生重大的经济影响。本研究的目的是评估水热时间模型解释LensculinarisL.var动力学的能力。Markaz-09种子萌发,以及确定在各种次优温度(T)和水势(Φ)下的发芽反应。为了研究小扁豆种子在可变水势(kW)和温度(Ts)下的发芽(SG)行为。创建了使用水热时间模型的实验室实验。种子在六个不同的温度下发芽:15°C,200‰,250‰,300‰,350‰,和400QC,在PEG-6000(聚乙二醇6000)溶液中具有0、-0.3、-0.6、-0.9和-1.2MPa的5个Φ。
结果:结果表明,发芽指数(GI)等农艺参数,萌发能(GE),Timson发芽指数(TGI),在25°C(-0.9MPa)下最大,在40°C下在OMPa下最低。另一方面,平均发芽时间(MGT)值在-1.2MPa中在15°C下最高,在40°C下最低(-0.6MPa),而平均发芽率(MGR)在40°C下最高(OMPa),在15°C下最低(-0.6MPa)。
结论:HTT模型最终确定了尖头晶状体var的发芽反应。Markaz-09(Lentil)用于所有Ts和kW,允许它被用来作为一种预测工具在晶状体culinarisL.var。Markaz-09(扁豆)种子萌发模拟模型。
BACKGROUND: Lentil is a significant legume that are consumed as a staple food and have a significant economic impact around the world. The purpose of the present research on lentil was to assess the hydrothermal time model\'s capacity to explain the dynamics of Lens culinaris L. var. Markaz-09 seed germination, as well as to ascertain the germination responses at various sub-optimal temperatures (T) and water potentials (Ψ). In order to study lentil seed germination (SG) behavior at variable water potentials (Ψs) and temperatures (Ts). A lab experiment employing the hydrothermal time model was created. Seeds were germinated at six distinct temperatures: 15 0С, 20 0С, 25 0С, 30 0С, 35 0С, and 40 0С, with five Ψs of 0, -0.3, -0.6, -0.9, and - 1.2 MPa in a PEG-6000 (Polyethylene glycol 6000) solution.
RESULTS: The results indicated that the agronomic parameters like Germination index (GI), Germination energy (GE), Timson germination index (TGI), were maximum in 25 0C at (-0.9 MPa) and lowest at 40 0C in 0 MPa. On other hand, mean germination time (MGT) value was highest at 15 0C in -1.2 MPa and minimum at 40 0C in (-0.6 MPa) while Mean germination rate (MGR) was maximum at 40 0C in (0 MPa) and minimum at 15 0C in (-0.6 MPa).
CONCLUSIONS: The HTT model eventually defined the germination response of Lens culinaris L. var. Markaz-09 (Lentil) for all Ts and Ψs, allowing it to be employed as a predictive tool in Lens culinaris L. var. Markaz-09 (Lentil) seed germination simulation models.